5 - 10 years

30 - 35 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, develop, and deploy

    multimodal AI models

    (text, audio, video) using

    AWS or Azure

    AI services.
  • Integrate

    LLMs (e.g., OpenAI, Anthropic, Cohere)

    with proprietary or third-party models to build custom applications.
  • Utilize

    Azure OpenAI, AWS Bedrock, SageMaker,

    or similar services for training and inference workflows.
  • Develop pipelines for

    preprocessing, training, evaluation, and fine-tuning

    of multimodal models.
  • Collaborate with product and engineering teams to define use cases and translate them into scalable GenAI solutions.
  • Evaluate and optimize models for

    latency, accuracy, cost, and ethical considerations

    .
  • Implement

    prompt engineering, RAG (retrieval-augmented generation), vector search

    , and other advanced techniques.
  • Stay current with GenAI research trends and contribute to internal knowledge sharing.

Required Skills Qualifications

  • 5+ years of experience in

    AI/ML

    , with 12 years specifically in

    generative AI / multimodal AI

    .
  • Strong proficiency with at least one cloud platform:

    Azure AI (Azure OpenAI, Cognitive Services, ML Studio)

    or

    AWS AI (Bedrock, SageMaker, Transcribe, Rekognition, Polly, etc.)

    .
  • Hands-on experience with

    multimodal data processing

    (e.g., NLP, audio signal processing, video analysis).
  • Experience with

    LLMs

    ,

    transformer architectures

    , and model fine-tuning (e.g., LoRA, PEFT, adapters).
  • Proficiency in

    Python

    , and libraries such as

    PyTorch, TensorFlow, Transformers (Hugging Face)

    .
  • Experience with

    vector databases

    (e.g., FAISS, Pinecone, Weaviate) and

    embedding generation

    .
  • Strong understanding of

    MLOps

    ,

    CI/CD for ML

    , and deployment strategies for GenAI models.

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