Key Responsibilities
- Design and develop scalable AI/ML systems and Agentic AI solutions.
- Develop AI agents using frameworks such as Google ADK, LangGraph, and LangChain.
- Build and integrate LLM-based applications using models such as Gemini and OpenAI.
- Design and implement RAG-based solutions and NLP applications.
- Develop AI services and APIs using Python and FastAPI.
- Work with MCP (Model Context Protocol), including client and server implementations.
- Develop and optimize ML pipelines and support MLOps practices.
- Work with Spark for large-scale data processing.
- Design and develop AI-powered Developer Assistants for code generation using tools/models such as Qwen, Claude, or Copilot.
- Implement CI/CD pipelines for AI/ML applications.
- Contribute to system architecture, technical design, development, testing, and deployment.
- Collaborate with cross-functional teams and effectively communicate technical concepts to stakeholders.
- Follow best practices for scalability, security, performance, and maintainability.

📌 Ai Ml Engineer (Mumbai)
🏢 wissen technology
📍 Mumbai