Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Google Cloud Platform (GCP)
Good to have skills : NA
Minimum
3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Develop and deploy AI-enabled applications and agentic workflows in fast-moving enterprise and client environments.
Must have contributed meaningful code to production software, AI, ML, or data systems. Coursework, certifications, and prototype-only experience are insufficient.
Practical experience using Cursor, GitHub Copilot, Claude Code, Codex or Replit Agent to build and deploy AI services, with the ability to write effective task specifications, validate generated code, create tests, troubleshoot failures and work safely with Git and CI/CD.
Roles & Responsibilities:
- Build AI services, agents, retrieval pipelines, tools, and application integrations.
- Develop production-quality Python services and APIs.
- Connect AI systems to enterprise data sources and business applications.
- Implement automated tests, evaluations, logging, tracing, and monitoring.
- Troubleshoot model outputs, data quality, integration failures, and performance issues.
- Support deployment, user testing, and production stabilization.
- Document reusable components and implementation patterns.
Professional & Technical Skills:
- Python, APIs, data structures, software engineering, and testing.
- LLMs, RAG, embeddings, vector databases, tool calling, and prompt design.
- Cloud services, Docker, Git, CI/CD, SQL, and backend frameworks.
- Secure coding, observability, latency, and cost considerations.
