Required Skills

AI/ML Development: Understanding of artificial intelligence and machine learning frameworks.

Generative AI & LLM Pipelines: Building and deploying solutions for text generation, automation, intelligent search, RAG systems.

Cloud AI Platforms: Using Azure AI, Vertex AI, AWS SageMaker for model training and deployment.

Automation & Workflow Optimization: Automating university processes and system integration.

Git Version Control: Codebase management, collaboration, version tracking.

API Integration: Third-party API and service integration expertise.

Azure DevOps: Project management and deployment pipeline experience.

Project & Deadline Management: Strong ability to manage project timelines effectively, prioritize tasks, and deliver high-quality code.

Complex Database Queries: Query development and optimization proficiency.

Dashboards & Reports: Generating insightful reports and stakeholder dashboards.

Communication & Collaboration: Cross-functional team effectiveness with developers, designers, stakeholders.

Leadership & Mentorship: Developer guidance on best practices and emerging technologies

Desired Candidate Profile

Bachelor's degree in computer science, engineering, AI, data science, or related field.

4-5 years of AI development experience with server management and Git version control.

Expertise in Python, TensorFlow, PyTorch, n8n, LLM platforms, OpenAI, Azure AI, or Google Vertex AI.

Docker/Kubernetes deployment experience.

API integration knowledge (RESTful and SOAP).

Azure DevOps proficiency for CI/CD pipelines.

High commitments in deadline management and prioritization in a fast-paced environment.

Database design and query optimization skills.

Reporting tools and dashboard experience.

Strong communication and cross-functional collaboration abilities.

Leadership and junior developer mentoring experience.

Strong attention to detail and a commitment to delivering high-quality code.

Preferred Qualifications

Master's or bachelor's degree in computer science/engineering.

Certifications in AI, cloud platforms, Laravel, Azure, or Git.

Docker/Kubernetes containerization experience.

Machine learning algorithm knowledge.

AI-driven project experience.

Open-source contributions or developer community participation.