Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title:

Location:

Experience:


Summary:

Python


Key Responsibilities:

  • Design, fine-tune, and deploy

    LLMs

    for domain-specific use cases.
  • Build

    RAG-based AI workflows

    using LangChain/LangGraph.
  • Develop document ingestion, embedding, and vector search pipelines (FAISS, Pinecone, Chroma).
  • Implement

    MLOps pipelines

    with Docker, Kubernetes, and CI/CD.
  • Deploy models on

    cloud platforms

    (GCP Vertex AI, AWS SageMaker, Azure ML).
  • Collaborate across teams and mentor engineers on best practices.


Required Skills:

  • Expert in

    Python

    , data structures, and OOP.
  • Strong understanding of

    LLMs

    ,

    transformers

    , and

    Generative AI

    .
  • Experience with

    RAG

    ,

    LangChain

    ,

    LangGraph

    , and

    vector databases

    .
  • Proficiency in

    PyTorch

    ,

    TensorFlow

    , and

    Hugging Face

    .
  • Skilled in

    MLOps

    ,

    Docker

    ,

    Kubernetes

    ,

    CI/CD

    , and

    cloud AI platforms

    .
  • Solid grounding in

    math, ML, and deep learning fundamentals

    .


Nice-to-Have:

  • Experience with

    PySpark

    ,

    Kafka

    ,

    FastAPI/Flask

    ,

    time-series

    , or

    multi-modal AI

    .

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