Ai Ml Engineer | 4-7 Years | Pan India

5 - 7 years

1 - 2 Lacs

Posted:15 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: AI/ML Engineer

  • Experience:

    4-7 Years |

    Work Mode

    - Hybrid
  • Work Locations:

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

Job Summary :

Scrum Master

Responsibilities:

  • 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:

  • 4-7 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

    .

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Apexon

Technology / Digital Services

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