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DataNimbus

Machine Learning Engineer

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Description

Responsibilities:

  • Build and productionize scalable Machine Learning pipelines.
  • Develop enterprise Generative AI applications using LLMs and RAG (Retrieval-Augmented Generation).
  • Work extensively with Azure, Databricks, Spark, and MLflow.
  • Deploy and monitor ML models using MLOps best practices.
  • Build intelligent AI systems using LangChain, LangGraph, vector databases, and embeddings.
  • Design AI solutions over enterprise data and advise customers on architecture, tooling, and best practices.

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