Ai Ml Engineer - Pan India | 3-8 Years

3 - 8 years

0 - 2 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:  AI/ML Engineer - Pan India Hiring

  • Experience:

     3-8 Years  
  • Work Locations:

     Ahmedabad, Pune, Chennai, Hyderabad, Coimbatore, Mumbai, Bangalore 

Job Summary:

  • Design and implement 

    scalable data architectures

     to support 

    LLM (Large Language Model)

     training, fine-tuning, and deployment.
  • Lead the development of 

    Agentic AI systems

     integrating reasoning, memory, and planning capabilities.
  • Collaborate with ML Engineers and Data Scientists to build pipelines for 

    data ingestion, preprocessing, and model training

    .
  • Architect solutions that support 

    retrieval-augmented generation (RAG)

    vector databases

    , and 

    semantic search

    .
  • Ensure 

    data governance, security, and compliance

     across all AI systems.
  • Evaluate and integrate 

    open-source and commercial LLMs

     (e.g., OpenAI, Mistral, Meta, Cohere).
  • Optimize 

    data storage

     and 

    compute infrastructure

     for high-performance AI workloads.
  • Stay up to date with the latest advancements in 

    AI, LLMs, and Agentic frameworks

     (e.g., LangChain, AutoGPT, OpenAgents).

Required Skills & Qualifications:

  • 3-8 years of proven experience in AI/ML environments, preferably as a 

    Data Architect

     or similar role.
  • Strong understanding of 

    LLM architectures

    training workflows

    , and 

    deployment strategies

    .
  • Experience with 

    Agentic AI frameworks

     and 

    autonomous agents

    .
  • Proficiency in 

    Python

     and relevant libraries (e.g., 

    Hugging Face Transformers

    LangChain

    ).
  • Hands-on experience with 

    cloud platforms

     (AWS, GCP, Azure) and 

    containerization tools

     (Docker, Kubernetes).
  • Familiarity with 

    vector databases

     (e.g., Pinecone, Weaviate, FAISS).
  • Knowledge of 

    data modeling

    ETL pipelines

    , and 

    data lake/warehouse architectures

    .
  • Excellent 

    problem-solving

    analytical

    , and 

    communication skills

    .

Please note

About Apexon


Visit- www.apexon.com |  https://www.linkedin.com/company/apexon/

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