In_senior Associate_ai Engineer_digital Engineering Transformation_advisory_chennai

PwC Poland

Llm integration and fine-tuning
Rag pipelines using langchain
Model context protocol (mcp)
This role is critical for bringing hardware to life and shaping PwC's Digital Engineering capability by working on connected devices

Job Summary

  • This role is critical for bringing hardware to life and shaping PwC's Digital Engineering capability by working on connected devices.
  • You will build and deploy RAG pipelines using LangChain and implement agentic workflows using Model Context Protocol for enterprise AI applications.
  • The position requires transforming unstructured R&D data into queryable AI assets while collaborating with domain experts on Scientific ML problems.

Matching Summary

This role is critical for bringing hardware to life and shaping PwC's Digital Engineering capability by working on connected devices.

Skills & Requirements

Must-have

  • LLM integration and fine-tuning
  • RAG pipelines using LangChain
  • Model Context Protocol (MCP)
  • Vector databases like Pinecone
  • MLOps with MLflow or SageMaker

Nice-to-have

  • Scientific ML with PyTorch
  • Graph neural networks experience
  • Collaboration with domain experts
  • Strong organizational skills
  • Client relationship management

Key Requirements

  • 5+ years of experience required
  • Bachelor Degree or Master Degree
  • Python testing for ML pipelines

Work Rights

Not specified

Tailored Resume

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