وظائف مهندس ميكانيكا معدات ثقيلة

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>VAM Systems is currently looking for Power BI Engineer (Offshore) for our Bahrain operations with the following skillsets and terms &amp; conditions:<br> Education:</p><br><p>•&nbsp;&nbsp; &nbsp;Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master’s degree is preferred.</p><br><p>Professional Experience:</p><br><p>Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.</p><br><p>Certifications:</p><br><p>•&nbsp;&nbsp; &nbsp;Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</p><br><p>Technical Proficiency:</p><br><p>•&nbsp;&nbsp; &nbsp;Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.<br> •&nbsp;&nbsp; &nbsp;Strong command of SQL for querying, data modeling, and ETL development.<br> •&nbsp;&nbsp; &nbsp;Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.<br> •&nbsp;&nbsp; &nbsp;Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.<br> •&nbsp;&nbsp; &nbsp;Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</p><br><p>Analytical &amp; Modeling Skills:</p><br><p>•&nbsp;&nbsp; &nbsp;Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.<br> •&nbsp;&nbsp; &nbsp;Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.<br> •&nbsp;&nbsp; &nbsp;Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</p><br><p>Business Acumen:</p><br><p>•&nbsp;&nbsp; &nbsp;Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches.<br> •&nbsp;&nbsp; &nbsp;Experience in managing BI and analytics projects and collaborating with cross-functional teams.<br> Key Responsibilities</p><br><p>•&nbsp;&nbsp; &nbsp;Participate in defining and maintaining the Treasury analytics and reporting roadmap, aligned with business priorities and strategy<br> •&nbsp;&nbsp; &nbsp;Establish a structured framework for data consumption, reporting, and dashboard evolution<br> •&nbsp;&nbsp; &nbsp;Proactively identify opportunities to enhance analytics maturity and reporting capabilities<br> •&nbsp;&nbsp; &nbsp;Collaborate with Treasury stakeholders (e.g., Trading, ALM, Investments, Risk) to gather requirements and translate them into technical specifications<br> •&nbsp;&nbsp; &nbsp;Translate business needs into clear analytics use cases, KPIs, and reporting requirements<br> •&nbsp;&nbsp; &nbsp;Identify high-value analytical opportunities to support decision-making</p><br><p>Detailed Breakdown<br> Dashboard Development &amp; Analytics Delivery (Core Focus)</p><br><p>•&nbsp;&nbsp; &nbsp;Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools</p><br><p>Ensure solutions are:</p><br><p>•&nbsp;&nbsp; &nbsp;Dynamic and scenario-driven (what-if analysis, simulations, sensitivity analysis)<br> •&nbsp;&nbsp; &nbsp;User-friendly, with drill-down and self-service capabilities</p><br><p>•&nbsp;&nbsp; &nbsp;Build and maintain semantic data models and OLAP structures to enable scalable self-service analytics<br> •&nbsp;&nbsp; &nbsp;Continuously enhance dashboards based on user feedback and evolving business needs<br> •&nbsp;&nbsp; &nbsp;Ensure timely and high-quality delivery of dashboards and reporting outputs</p><br><p>Insights, Analytics &amp; Advanced Capabilities</p><br><p>•&nbsp;&nbsp; &nbsp;Develop actionable insights and analytics outputs relevant to Treasury, Investments, and Financial Institutions<br> •&nbsp;&nbsp; &nbsp;Provide data-driven recommendations and clearly communicate findings to both technical and non-technical audiences<br> •&nbsp;&nbsp; &nbsp;Simplify complex analytics into actionable business insights for decision-making</p><br><p>Explore and implement:</p><br><p>•&nbsp;&nbsp; &nbsp;Automation of reporting and insight generation<br> •&nbsp;&nbsp; &nbsp;Dynamic scenario simulations<br> •&nbsp;&nbsp; &nbsp;Predictive analytics and AI-driven insights, where applicable</p><br><p><br> Data Management &amp; Integration</p><br><p>•&nbsp;&nbsp; &nbsp;Coordinate with internal teams (IT, data engineering, finance systems) to:<br> •&nbsp;&nbsp; &nbsp;Extract and integrate required datasets<br> •&nbsp;&nbsp; &nbsp;Ensure data availability, accessibility, and consistency<br> •&nbsp;&nbsp; &nbsp;Integrate data from multiple sources (e.g., EDW, APIs, flat files) into unified models<br> •&nbsp;&nbsp; &nbsp;Ensure data is structured to support efficient reporting and analytics delivery within the Treasury function<br> •&nbsp;&nbsp; &nbsp;Optimize SQL queries and ETL processes for performance and scalability</p><br><p>Data Quality &amp; Governance (Treasury Scope)</p><br><p>•&nbsp;&nbsp; &nbsp;Identify data gaps, inconsistencies, and limitations, and work with upstream providers to improve data quality<br> •&nbsp;&nbsp; &nbsp;Ensure compliance with data governance, security, and privacy policies (within Treasury scope)<br> •&nbsp;&nbsp; &nbsp;Maintain proper documentation of data sources, transformations, and reporting logic</p><br><p>Stakeholder Enablement &amp; Team Contribution</p><br><p>•&nbsp;&nbsp; &nbsp;Provide training and support to business users on BI tools and data interpretation<br> •&nbsp;&nbsp; &nbsp;Communicate insights effectively to senior leadership and end users<br> •&nbsp;&nbsp; &nbsp;Mentor team members and contribute to best practices and reusable analytics components</p><br><p>LANGUAGES:</p><br><p>•&nbsp;&nbsp; &nbsp;English<br> •&nbsp;&nbsp; &nbsp;Arabic</p><br><p>Terms and conditions</p><br><p>Joining time frame: (15 - 30 days)</p><br><p>.<br> &nbsp;</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<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>

<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>

<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>

<p><h4>Role summary</h4> <p>The Quantity Surveyor – Mechanical is responsible for providing technical and commercial support during the pre-contract tendering stage. The role involves preparing accurate quantity take-offs for plumbing, drainage, HVAC, and mechanical infrastructure systems, coordinating supplier and subcontractor enquiries, and supporting the preparation of competitive and compliant tender submissions. The successful candidate will work closely with the estimation team to ensure accurate costing, timely procurement inputs, and high-quality tender documentation.</p> <h4>Key responsibilities</h4> <ul> <li>Perform detailed quantity take-offs and measurements from tender drawings, specifications, and related documents for mechanical systems.</li> <li>Prepare and issue requests for quotation (RFQs) to suppliers and subcontractors for mechanical works.</li> <li>Follow up with suppliers and subcontractors to obtain timely and competitive quotations.</li> <li>Review and evaluate quotations to ensure compliance with project specifications and tender requirements.</li> <li>Assist in the preparation and updating of bills of quantities (BOQs) and cost estimates.</li> <li>Support the senior mechanical estimator in preparing tender submissions and pricing proposals.</li> <li>Review tender drawings and identify discrepancies, omissions, or design conflicts.</li> <li>Prepare requests for information (RFIs) and coordinate technical clarifications with consultants and clients.</li> <li>Attend site visits when required to assess project conditions and mechanical installation requirements.</li> <li>Maintain accurate records of quantity take-offs, quotations, and tender documentation.</li> <li>Utilize AutoCAD, PlanSwift/Bluebeam, and Microsoft Excel effectively to ensure accuracy and efficiency.</li> <li>Collaborate with internal teams to meet tender submission deadlines and project requirements.</li> </ul> <h4>Qualifications & skills</h4> <h4>Qualifications</h4> <ul> <li>Bachelor's degree, diploma, or equivalent qualification in mechanical engineering.</li> <li>Minimum 2 years of experience in mechanical quantity surveying, estimation, or tendering within the construction or MEP industry.</li> </ul> <h4>Technical skills</h4> <ul> <li>Proficiency in AutoCAD.</li> <li>Proficiency in PlanSwift and/or Bluebeam for quantity take-offs.</li> <li>Advanced knowledge of Microsoft Excel.</li> <li>Strong understanding of plumbing, drainage, HVAC, and mechanical infrastructure systems.</li> <li>Ability to interpret engineering drawings, specifications, and BOQs.</li> <li>Strong analytical and numerical skills.</li> <li>Excellent attention to detail and accuracy.</li> <li>Effective communication and coordination skills.</li> <li>Ability to work under pressure and meet tight tender deadlines.</li> <li>Strong organizational and time-management abilities.</li> <li>Team-oriented with a proactive approach to problem-solving.</li> </ul></p><p></p>

<p>•Proven experience in managing MEP aspects of high-rise buildings and large villa projects.</p><p>•In-depth knowledge of MEP systems design, installation, and maintenance best practices.</p><p>•Lead the design, planning, and execution of MEP systems (HVAC, electrical, plumbing, fire protection) for large-scale commercial and residential construction projects.</p><p>•Manage and mentor a team of MEP engineers and technicians, ensuring high performance and professional development.</p><p>•Develop detailed MEP designs, specifications, and cost estimates, ensuring compliance with project requirements and relevant codes.</p><p>•Oversee the installation and commissioning of MEP systems, ensuring adherence to design specifications and quality standards.</p><p>•Conduct site inspections, identify potential issues, and implement effective solutions during the construction phase.</p><p>•Collaborate closely with architects, structural engineers, project managers, and clients to ensure integrated project delivery.</p><p>•Manage MEP subcontractors, ensuring timely and quality execution of their work.</p><p>•Review shop drawings, material submittals, and respond to technical queries.</p><p>•Ensure all MEP works comply with Bahraini building codes, safety standards, and environmental regulations.</p><p>•Prepare progress reports and manage MEP project budgets and schedules effectively.&nbsp;</p>

<ol><li><p><strong>Professional Experience:</strong> Minimum of 5 years of hands-on experience in a contracting environment. Relevant certifications (e.g., RICS, CIQS) are a strong advantage.</p><br></li><li><p><strong>Operational Experience:</strong> Strong proficiency in quantity surveying and BOQ preparation, sharp analytical instincts, and a solid grasp of contract management.</p><br></li><li><p><strong>Contract & Tender Management:</strong> Solid experience in contract management, subcontractor negotiation, developing tender documents, and delivering clear financial reports.</p><br></li><li><p><strong>Site Supervision:</strong> Proven ability to directly supervise construction sites, managing teams, timelines, and quality standards on the ground.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><p><strong>Problem Solving Skills:</strong> Comfortable under pressure, precise by habit, and proactive about flagging risk before it becomes a problem.</p><br><p><strong>Languages: </strong>Full professional proficiency in both Arabic and English (spoken and written). Bahraini national preferred.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p><strong><span>YOU TACKLE FOR QUALITY AND GREAT SERVICE. THIS WILL IMPROVE THE LIFE OF OUR CUSTOMERS.</span></strong></p><br><br><p><span>Would you like to become part of the world's</span></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities Review awarded tender documents with respect to IFC drawing and specification. Prepare RFQ documents and comparisons and prepare subcontracts order. Take off quantity from IFC drawing/Tender Drawing. Provide and prepare compliance statements for materials procurements. Prepare MAC documents for submissions. Evaluate Vendor capability. Coordination with client/Consultant for materials. Worked with Value engineering options. Cost reconciliation.</p></div></section>

<p><strong>Required Qualifications:</strong></p><ul><li><strong>Professional Experience:</strong> Minimum of 5 years of hands-on experience in a contracting environment. Relevant certifications (e.g., RICS, CIQS) are a strong advantage.</li><li><strong>Operational Experience:</strong> Strong proficiency in quantity surveying and BOQ preparation, sharp analytical instincts, and a solid grasp of contract management.</li><li><strong>Problem Solving Skills:</strong> Comfortable under pressure, precise by habit, and proactive about flagging risk before it becomes a problem.</li><li><strong>Contract &amp; Tender Management:</strong> Solid experience in contract management, subcontractor negotiation, developing tender documents, and delivering clear financial reports.</li><li><strong>Site Supervision:</strong> Proven ability to directly supervise construction sites, managing teams, timelines, and quality standards on the ground.</li><li><strong>Languages:</strong> Full professional proficiency in both Arabic and English (spoken and written). Bahraini national preferred.</li></ul><p>&nbsp;</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for Sales &amp; marketing personnel of lighting products on building construction &amp; infrastructure projects.</p><p>Reporting to: Sales Manager</p><p>Main responsibilities:</p><p>- Responsible for Business development and Self-generation of sales leads from clients, contractors and end customers</p><p>- To Identify new areas of growth and promote company presence in the market</p><p>- To Provide feedback on competitor products and activity</p><p>- To Prepare estimates and quotations with necessary technical information.</p><p>- To prepare pre-qualification documents with respect to the client requirement and undergo vendor registration for future jobs.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum 3-5 years’ experience in Lighting sales</p><p>- Up to date Knowledge in led light fixtures</p><p>- Age Range: 23-35</p><p>- Gender Preference: Male</p><p>- Nationality Preference: any</p><p>-Be fluent in English.</p><p></p></section>

<p>Proposal and estimation function for Industrial Automation Business across Middle East and Africa. Responsible for Proposal &amp; Estimation of system Project pursuits covering. PCS/DCS/Safety (ESD &amp; FGS) solutions. Read and understand customer Specifications &amp; Requirements. Working with Multiple EPCs on Bid requests and expectations. Design and establish fit for purpose solutions. Cost Estimation with strong involvement and collaboration with internal. Risks assessment and planning suitable Mitigation plan. Ability to conduct the site survey at customer sites required for estimation purpose. Participate in techno-commercial reviews and meetings with customer to explain the proposal and convince customer. Updating the Proposal information in periodically in CRM. Meeting Quality deliverables within expected timelines. Sales acumen and passion for selling system solutions. Previous Experience is with major automation company preferred The potential candidate has to be self-motivated and pro-active. Technical background (Engineering/site experience will be preferred) Fluent communication in English-both spoken and written mandatory Process/Industry knowledge will be an added asset. Focused and ability to deliver within customer time expectations which could at times</p><p><strong>Desired Candidate Profile</strong></p><p>The potential candidate has to be self-motivated and pro-active. Technical background (Engineering/site experience will be preferred) Fluent communication in English-both spoken and written mandatory Process/Industry knowledge will be an added asset. Focused and ability to deliver within customer time expectations which could at times</p>

<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>

<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>

<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>

<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>

<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>

<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>

<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>