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Ai Ml Engineer

  • Source: Naukri
  • Wissen Technology
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

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.

Skills

  • LangGraph
  • LangChain
  • Gemini
  • Python
  • FastAPI
  • Spark

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