Automotive Engineer Jobs in Bahrain
585 Jobs Found
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Bahrain
Bahrain - Manama
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
</ul>
<p>A link to GitHub is a plus.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Bahrain
Bahrain - Manama
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Indus Overseas Recruitment Consultants
Bahrain - Manama
<p>Bachelors degree in civil engineering. Minimum 5 10 years of relevant construction experience. Minimum 2 3 years of experience in industrial projects (ALBA experience preferred). Experience in industrial construction projects such as aluminium plants, power plants, refineries, petrochemical plants, or heavy industrial facilities. Thorough knowledge of Building works (Industrial/Commercial/Residential) including but not limited to reinforced concrete, structural steel, foundations, roads, drainage, masonry, finishing, retrofitting & revamping works and infrastructure works. Ability to study and interpret IFC drawings, shop drawings, specifications, and method statements. Experience in site execution, planning, monitoring, and coordination of civil activities. Ability to prepare quantity take-offs, material requisitions, and daily/weekly progress reports. Experience in coordinating with Mechanical, Electrical, Instrumentation, and Architectural disciplines. Knowledge of QA/QC procedures, ITPs, WIRs, MIRs, NCRs, and punch list management. Familiarity with project schedules and progress tracking. Working knowledge of AutoCAD and Microsoft Office (Excel, Word, Outlook). Permit-to-Work (PTW) Experience in obtaining and coordinating Client Permit-to-Work approvals. Knowledge of excavation permits, hot work permits, confined space permits, work-at-height permits, lifting permits, and electrical permits. Ability to coordinate with Client representatives and HSE personnel for permit issuance, renewal, suspension, and close-out. Ensure compliance with all permit conditions before commencement of work. Lock Out / Tag Out (LOTO) Good understanding of Lock Out/Tag Out (LOTO) procedures and hazardous energy isolation. Experience coordinating LOTO requirements with Client Operations. Ability to verify equipment isolation and zero-energy state before commencing work. Ensure compliance with Client-specific LOTO procedures and safety requirements. Health, Safety & Environment (HSE) Strong knowledge of industrial HSE standards and safe work practices. Ability to conduct site risk assessments and review Job Safety Analysis (JSA) and Task Risk Assessments (TRA). Promote a positive safety culture and ensure compliance with Client HSE procedures. Knowledge of emergency response procedures, incident reporting, and corrective actions. Coordination & Leadership Coordinate subcontractors, supervisors, foremen, and site teams to ensure efficient project execution. Liaise effectively with Client representatives, Consultants, QA/QC, HSE, Procurement, Planning, and other internal departments. Resolve (including recommending appropriate corrective and preventive actions) technical, construction, and coordination issues in a timely manner. Lead and mentor site supervisory staff to achieve project quality, safety, and productivity objectives. Demonstrate strong planning, communication, decision-making, and problem-solving skills. Conduct site meetings, toolbox discussions, and coordination meetings as required. Reporting & Documentation Report directly to the Project Manager/Construction Manager on project progress, technical issues, resource requirements, risks, and mitigation measures. Prepare and submit accurate daily, weekly, and monthly progress reports. Monitor project progress against the approved programme and promptly report any delays, constraints, or potential impacts. Maintain site diaries, progress records, manpower and equipment utilization reports, inspection records, and construction documentation. Prepare or review WIRs, MIRs, RFIs, NCR responses, punch lists, and project close-out documentation. Coordinate with the Document Controller to ensure timely submission, distribution, and filing of project documentation. Escalate quality, safety, commercial, or technical concerns to management with appropriate recommendations. Attend Client, Consultant, and internal progress meetings and ensure timely implementation of agreed action items.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelors degree in civil engineering. Minimum 5 10 years of relevant construction experience. Minimum 2 3 years of experience in industrial projects (ALBA experience preferred).</p>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
Confidential
Bahrain - Manama
<p><h4>Job description</h4>
<p>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.</p>
<p>As a software engineer III-automation test at JPMorgan Chase within the commercial and investment bank for payments technology business, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p>
<h4>Job responsibilities</h4>
<ul>
<li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems</li>
<li>Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li>
<li>Automation using Cucumber, Cypress, Selenium, Playwright</li>
<li>Ability to customize BDD/Selenium in various integrations</li>
<li>Knowledge and ability to design, build, maintain test automation framework</li>
<li>Automation test cases and feature file creation</li>
<li>Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness</li>
<li>Applies knowledge of tools within the software development life cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation</li>
<li>Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li>
</ul>
<h4>Required qualifications, capabilities, and skills</h4>
<ul>
<li>Formal training or certification in software engineering concepts and 6+ years of applied experience</li>
<li>Experience working in agile delivery environments and understanding of the software development life cycle (SDLC)</li>
<li>Functional testing experience, including test preparation, test design, execution, and results reporting</li>
<li>Experience partnering with QA (manual and automation), developers, and subject matter experts (SMEs) to understand the business domain, requirements, and system functionality</li>
<li>Experience designing, developing, maintaining, executing, and reporting automated test suites using Cucumber, Cypress, Selenium, and Playwright, including tracking and communicating automation status and quality metrics</li>
<li>Experience with defect lifecycle management, including defect logging, verification/re-testing, and tracking through closure in collaboration with engineering teams</li>
<li>Hands-on experience across system design, application development, testing, and operational stability concepts</li>
<li>Experience developing, debugging, and maintaining code in a large-scale enterprise environment using one or more modern programming languages</li>
<li>Experience with Oracle/RDBMS to support testing and troubleshooting, with a solid understanding of CI/CD, application resiliency, and security considerations, and strong interpersonal skills to collaborate across teams and support timely problem resolution</li>
</ul>
<h4>Preferred qualifications, capabilities, and skills</h4>
<ul>
<li>Experience within trade domain</li>
</ul>
<h4>About us</h4>
<p>J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.</p>
<p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.</p>
<h4>About the team</h4>
<p>J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</p></p><p></p>
Bahrain
Bahrain - Manama
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Bahrain - Manama
<p>VAM Systems is currently looking for Network Engineer for our Bahrain operations with the following skillsets & terms and conditions:</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum of a bachelor s degree in BIS, computer science or equivalent. Specialized certification in Cisco CCNA, CCNP, AWS Networks, Fortinet or equivalent for networking Routing and Switching, Firewalls and Cloud technology Work experience in network support and security field of at least 2 years, in configuring network firewalls, switches, routers, load balancers Ability to troubleshoot of network issues with different teams, entities, ISP and vendors Working on vulnerabilities security patching by performing node firmware upgrade planning and execution and doing security configuration hardening. Immediate join upon passing the job interview.</p>
Bahrain
Bahrain - Manama
<p><h4>Please submit your CV in English and indicate your level of English proficiency.</h4>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>Frontier coding agents are already good at passing tests. We measure whether they pass them the right way. We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.</p>
<p>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:</p>
<ul>
<li>Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li>
<li>Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes</li>
<li>Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs</li>
<li>Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust</li>
</ul>
<h4>What this is NOT:</h4>
<ul>
<li>Not data labeling;</li>
<li>Not prompt engineering;</li>
<li>Not cybersecurity or red-teaming — there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists;</li>
<li>Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome;</li>
</ul>
<h4>What we look for</h4>
<ul>
<li>4–5+ years in software development;</li>
<li>Core stack: Python, JavaScript/TypeScript;</li>
<li>Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;</li>
<li>Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);</li>
<li>Familiarity with GitHub PRs and CI workflows as a user;</li>
<li>Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer;</li>
<li>English proficiency — B2+</li>
</ul>
<h4>Why this is hard</h4>
<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones.</p>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $75 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
Bahrain
Bahrain - Manama
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<h4>What this is not:<\/h4>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<h4>What we look for:<\/h4>\n<li>8+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Compensation details are provided upon engagement. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Bahrain - Manama
<p>The Project Management Engineering, Construction & Commissioning Professional at Hitachi, Ltd. will be responsible for overseeing and managing complex engineering, construction, and commissioning projects from inception to completion, ensuring projects are delivered on time, within budget, and to the highest quality standards.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Lead and manage all phases of large-scale engineering projects, including planning, execution, monitoring, and closure.</li><li>Develop and maintain detailed project plans, schedules, budgets, and resource allocation strategies.</li><li>Coordinate and collaborate with cross-functional teams, including engineering, procurement, construction, and operations, to ensure seamless project execution.</li><li>Identify and mitigate project risks, develop contingency plans, and implement effective risk management strategies.</li><li>Oversee and manage contractors, suppliers, and other third-party vendors, ensuring adherence to project specifications and contractual obligations.</li><li>Establish and maintain strong relationships with stakeholders, including clients, regulatory bodies, and internal teams, providing regular project updates and addressing concerns.</li><li>Ensure compliance with all relevant industry standards, safety regulations, and environmental policies.</li><li>Conduct regular project reviews, assess performance against key metrics, and implement corrective actions as needed.</li><li>Prepare comprehensive project reports, presentations, and documentation for internal and external stakeholders.</li><li>Drive continuous improvement initiatives in project management processes and methodologies.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Engineering ( Electrical) or a related technical field. Master's degree preferred.</li><li>Minimum of 14-16 years of progressive experience in project management within engineering, construction, and commissioning environments, preferably in large-scale industrial or infrastructure projects.</li><li>Proven track record of successfully delivering complex projects on time and within budget.</li><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence and motivate diverse teams.</li><li>Solid knowledge of relevant industry standards, codes, and regulations.</li><li>Strong analytical and problem-solving abilities.</li><li>Ability to travel as required for project needs.</li></ul><p><strong>Accessibility and reasonable accommodation</strong></p><p>Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.</p><p><strong>Use of Al and automated tools in recruitment</strong></p><p>As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.</p><p><strong>Background Screening and Security Checks</strong></p><p>As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws. For certain roles particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position. The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.</p>
Bahrain
Bahrain - Manama
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $200\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>
Mondelez International
Bahrain - Manama
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Description</span><p><b>Are You Ready to Make It Happen at Mondelēz International?</b></p><br><p><b>Join our Mission to Lead the Future of Snacking. Make It With Pride.</b></p><br><p>Your goal is to achieve the required production volume in compliance with quality standards and in accordance with the KPIs. You will ensure a strong safety culture and satisfying internal & external customer needs. To achieve this you lead the planning, scheduling, logistics and materials management processes for Equipment spare parts and consumables in a Continuous Improvement manufacturing environment and an Integrated Lean Six Sigma culture. </p><br><p><b>Key Accountabilities : </b><br><b> Business Development & Growth Delivery</b></p><br><ul><li>Lead the end-to-end execution of new product developments (NPDs) and sourcing projects.</li><li>Translate regional/category strategy into site execution roadmaps.</li><li>Own Innovation & Initiative Management (IIM/I2M) governance for plant projects.</li><li>Support portfolio expansion, new market sourcing, and vertical start-ups.</li><li>Represent manufacturing in cross-regional commercial and category forums.</li></ul><p><br><b> Productivity & Cost Leadership</b></p><br><ul><li>Lead RM/PM cost optimization workshops with cross-functional teams.</li><li>Optimize Internal Billing Rates (IBRs) and plant cost structures.</li><li>Deliver savings aligned with Annual Contract (AC) commitments.</li><li>Conduct financial evaluations, simulations, and risk assessments for major initiatives.</li></ul><p><br><b> Capacity & Asset Optimization</b></p><br><ul><li>Evaluate and upgrade plant capacities to support growth agenda.</li><li>Lead debottlenecking initiatives and line extensions.</li><li>Implement lean manufacturing and IL6S loss elimination principles.</li><li>Ensure compliance with World Class Manufacturing standards.<br> </li></ul><p><b>What extra ingredients you will bring:</b></p><br><ul><li>Understanding business acumen with ability to represent the plant holistically in key initiatives</li><li>Strategic thinking combined with hands-on execution capability.</li><li>Ability to lead cross-functional and cross-regional teams.</li><li>Stakeholder influence and communication capability.</li><li>Change management and transformation leadership.</li></ul><p><b>Education / Certifications:</b></p><br><ul><li>Bachelor’s degree in engineering or operations management.</li></ul><p><b>Job specific requirements:</b></p><br><ul><li>Experience with NPD and innovation management processe</li></ul>&#xa;&#xa;<span><b>Business Unit Summary</b></span>Mondelēz International in the Middle East, North Africa and Pakistan serves the Middle East and Africa markets as well as Australia, New Zealand, the UK and Canada. Headquartered in Dubai, UAE, we have more than 2600 employees working across seven plants and six commercial offices; we make, bake, sell and deliver our products to customers. We are market leaders in key snacking categories with iconic global and local brands including Cadbury Dairy Milk chocolate, Milka, Oreo and belVita biscuits, Barni Cakes,Tang powdered beverage, Chiclets and Trident gum and Halls candy. <p>Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.</p><br><b><span>Job Type</span></b>RegularManufacturing supportManufacturing </div>
DHL
Bahrain - Muharraq government
<div ><p ><strong><span >YOU TACKLE FOR QUALITY AND GREAT SERVICE. THIS WILL IMPROVE THE LIFE OF OUR CUSTOMERS.</span></strong><span ></span></p><p ><span >Would you like to become part of the world's most international company in the world?</span><span ></span></p><p ><span >A company that pioneered cross-border express delivery in 1969 and is now active in more than 220 countries and territories worldwide. Do you want to be part of a company that connects people worldwide? And the more people we connect, the better life will be on our planet.</span><span ><br> <span ><br> Join our team and discover how an international network that's focused on service, quality and sustainability, is able to connect people and improve lives through the power of global trade. And not just for our customers, but for every member of our team too. To learn more about our culture, motivated people and our purpose, please visit www.dpdhl.jobs/express <br> </span></span></p><p ><span >Do you want to make a difference? Then come to our "Insanely Customer Centric" Team and become a Certified International Specialist!</span><span ></span></p><p ><span ><br></span></p><p ><strong><span >ROLE PURPOSE: </span></strong><span ></span></p><p ><span >To assist the Technical Services Manager - Powerplant and thus ensure that DHL has comprehensive Aircraft Powerplant continued airworthiness support.</span></p><p ><span ><br></span></p><p ><strong><span >YOUR TASKS:</span></strong></p><ul><li><span >Technical Services provides engineering assistance to aircraft production in the form of troubleshooting systems defects and liaison with the aircraft/engine manufacturer. The department assesses technical documentation which is received from airworthiness authorities, manufacturers or vendors.</span></li><li><span >To assist the Powerplant Department with material management. This involves, but not limited to, forecasting projected future consumption of materials, sourcing, pre-purchase approval review, post-purchase technical review of the paperwork, BTB trace review for LLP’s, managing material from source to final destination, managing the material through the shop process and ensuring that the material and it’s technical information is accurately reflected on the company’s management system (TRAX)</span></li><li><span >To assist the Technical Services Manager - Powerplant and thus ensure that DHL has comprehensive Aircraft Powerplant continued airworthiness support.</span></li><li><span >To accurately and effectively manage large volumes of material movement and ensure our Management System (TRAX) is updated accordingly in a timely manner.</span></li><li><span >Ensuring compliance with Materials Receiving Inspection procedures</span></li><li><span >Evaluation of new company aircraft for airworthiness compliance to determine Aircraft Powerplant / APU modifications that may be required.</span></li><li><span >Researching Aircraft Powerplant / APU data in support of Service Bulletin assessment.</span></li><li><span >Assessment of engineering requirements to enable efficient overhaul / repair of aircraft Powerplant / APU related components. (Requisitions and Quotations).</span></li><li><span >Manage the full engine shop visit process from removal planning & work scope creation to invoice review and release paperwork review.</span></li><li><span >Visit off-wing maintenance providers to carry out shop visit “table-top inspections”.</span></li><li><span >Forecast future projected material consumption and source needed materials.</span></li><li><span >Review multiple vendor options and pre-approve purchases.</span></li><li><span >Review Life Limited Parts (LLP) Back-To-Birth (BTB) Trace pre-purchase and approve purchase.</span></li><li><span >Manage the LLP BTB Folders for each Engine/APU for accuracy & currency.</span></li><li><span >Soft Life Management for LRU’s and non-LLP components.</span></li><li><span >Manage material movements for Engine / APU’s going to shop.</span></li><li><span >Manage material movement for Engines/APU going through the shop process.</span></li><li><span >Support for line maintenance on troubleshooting & technical support issues by liaison with OEMs, and Aircraft / Powerplant / APU Manufacturers.</span></li><li><span >Provide technical and advisory support to the Maintenance, Quality, Stores and Flight Operations Departments. </span></li><li><span >Full responsibility for Engine/APU Health Monitoring Program (EHM), compilation of engine/APU trend reports and recommendation of specific maintenance actions</span></li><li><span >Monitor on-wing life of engines/APU, via EHM, LLP Life limitations, AD limitations.</span></li><li><span >Evaluation of potential engines/APU’s for procurement.</span></li><li><span >Monitor preservation and storage requirements for spare engines/APU.</span></li><li><span >The assessments and analysis of Manufacturer’s Alert Service Bulletins, Service Bulletins, Service Letters and Fleet Team Digest notifications and making recommendations concerning the enhancement of aircraft Powerplant/APU reliability.</span></li><li><span >Assessment of Powerplant/APU Systems related future requirements Mandated by Airworthiness Authorities.</span></li><li><span >The assessments and analysis of Airworthiness Directives issued by the Federal Aviation Administration or other related Airworthiness Authorities.</span></li><li><span >Any reasonable request from DHL Management.</span></li><li><span >Liaise with vendors and Civil Aviation Authorities.</span></li></ul><div><font face="Delivery, sans-serif"><span ><br></span></font></div><p ><span > <strong><span >YOUR PROFILE:</span></strong><span > </span></span></p><ul><li><span >Minimum of 3 years’ experience of Technical Services Powerplant Engineering.</span></li><li><span >GE CF6-80C2 CAMO Technical Experience a distinct advantage</span></li><li><span >A graduate or Licensed Aircraft Maintenance Engineer (EASA / FAA / ICAO Type II). </span></li><li><span >Experience with the Microsoft Office suite of software, particularly PowerPoint and Excel.</span></li><li><span >Experience using My Boeing Fleet, General Electric and the GE AirVault application would be considered an advantage.</span></li><li><span >Experience with the Trax or AMOS Maintenance systems or other similar maintenance software would be considered an advantage.</span></li><li><span >Experience using Engine Health Monitoring (EHM) software, particularly General Electric, would be considered an advantage.</span></li><li><span >Experience interpolating Flight Data via a Flight Data Monitoring System would be considered an advantage. </span></li><li><span >Experience reviewing Engine LLP/APU BTB Trace packages.</span></li><li><span >Experience putting together Engine/APU LLP BTB trace packages.</span></li><li><span >GE CF6-80C2 CAMO Technical Experience a distinct advantage.</span></li></ul><div><font face="Delivery, sans-serif"><span ><br></span></font></div><p ><strong><span ></span></strong></p><p ><strong><span >OUR OFFER:</span></strong><span ></span></p><p ></p><ul><li><span >Strong career support in an international environment.</span></li><li><span >Great culture and colleagues.</span></li><li><span >Multifarious benefit programm.</span></li></ul><p ><span ></span></p><p ><span ><br></span></p><p ><span >Do you see a personal challenge in these versatile and responsible tasks? Then apply now!</span><span ></span></p><p ><strong><span ><br></span></strong></p><p ><strong><span >We look forward to receiving your application!</span></strong><span ></span></p></div><br><br>