Generative AI Engineer || Immediate Joiner

1 - 6 years

9 - 16 Lacs

gurgaon/gurugram delhi / ncr

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a talented AI Engineer to join our team. The ideal candidate will have expertise in machine learning, NLP, deep learning, and deploying AI models, with experience in advanced tools and frameworks across AI and backend development.

Responsibilities:

  • Develop and deploy AI models using

    machine learning

    ,

    deep learning

    (CNNs, RNNs, LSTMs), and

    NLP

    (

    GPT

    ,

    BERT

    ).
  • Work with advanced AI frameworks (

    Langchain

    ,

    AutoGen

    ,

    Streamlit

    ) and backend frameworks (

    FastAPI

    ,

    Flask

    ).
  • Implement

    reinforcement learning

    and autonomous decision-making systems.
  • Leverage

    cloud platforms

    (

    AWS: Bedrock, Sagemaker

    ) for model deployment and scalability.
  • Integrate third-party services (

    OpenAI

    ,

    Azure Foundry

    ) and tools (

    RelevanceAI

    ,

    Huggingface

    ).
  • Work with

    databases

    (

    MongoDB

    ,

    Postgres

    ,

    Redis

    ) and distributed systems.
  • Utilize advanced AI techniques like

    RAG

    ,

    fine-tuning

    ,

    LoRA

    ,

    QLoRA

    ,

    multi-model systems

    , and

    stable diffusion

    .
  • Explore AI applications in

    video generation models

    (

    text-to-video

    ,

    image-to-video

    ).

Skills Needed:

  • Expertise in

    AI frameworks

    :

    Langchain

    ,

    AutoGen

    ,

    Streamlit

    .
  • Strong experience with

    FastAPI

    ,

    Flask

    , and

    cloud platforms

    (

    AWS

    ,

    Bedrock

    ,

    Sagemaker

    ).
  • Knowledge of third-party services (

    OpenAI

    ,

    Azure Foundry

    ) and tools (

    RelevanceAI

    ,

    Huggingface

    ).
  • Solid experience with

    databases

    (

    MongoDB

    ,

    Postgres

    ,

    Redis

    ).
  • Proficient in

    machine learning

    ,

    deep learning

    ,

    NLP

    , and

    reinforcement learning

    .
  • Hands-on experience with advanced AI techniques:

    RAG

    ,

    fine-tuning

    ,

    LoRA

    ,

    QLoRA

    ,

    SLM

    ,

    LLM

    ,

    stable diffusion

    , and

    video generation models

    .

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