Senior Machine Learning Engineer

5 days ago

Gurgaon, Haryana, India SapidBlue Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
Principal Machine Learning Engineer

Location:
[Add Location or Remote/Hybrid Option]

Experience:
Minimum 5 years

Employment Type:
Full-time

About the Role:

We are looking for an experienced
Principal Machine Learning Engineer
to architect and implement advanced multimodal RAG (Retrieval-Augmented Generation) pipelines that integrate vision and language understanding. The ideal candidate will bring deep expertise in Machine Learning, Computer Vision, and Natural Language Processing (NLP), with hands-on experience in building scalable AI systems and deploying them using AWS AI services.

Key Responsibilities:

  • Architect and implement
    end-to-end multimodal RAG pipelines
    , integrating text, image, and other data modalities.
  • Apply
    MLOps best practices
    for model deployment, monitoring, and continuous improvement using
    AWS AI services
    .
  • Design and optimize
    vector databases
    and
    embedding retrieval mechanisms
    for large-scale systems.
  • Lead fine-tuning and optimization of
    Large Language Models (LLMs)
    using advanced techniques like
    LoRA, QLoRA, and RLHF
    .
  • Collaborate with cross-functional teams to integrate ML systems into production environments.
  • Research and prototype new
    vision-language models
    and
    multimodal architectures
    .
  • Drive
    scalable deployment strategies
    for open-source LLMs and manage continuous performance optimization.
  • Mentor junior engineers and contribute to the team's overall technical direction.

Required Skills & Qualifications:

  • 5+ years
    of experience in
    Machine Learning, Computer Vision, NLP, or related fields
    .
  • Strong understanding of
    multimodal learning
    and
    vision-language models
    .
  • Proven experience building and deploying
    RAG systems
    and managing
    vector databases
    .
  • In-depth knowledge of
    PyTorch
    ,
    Transformers
    , and
    modern ML frameworks
    .
  • Proficiency in
    NLP
    ,
    LLM fine-tuning
    , and
    model optimization
    .
  • Hands-on experience with
    AWS AI/ML services
    , including model deployment and lifecycle management.
  • Familiarity with
    open-source LLM architectures
    (e.g., LLaMA, Falcon, Mistral, etc.).
  • Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications:

  • Experience with
    multi-cloud or hybrid AI infrastructure
    .
  • Contributions to
    open-source ML or LLM frameworks
    .
  • Advanced degree (Master's or Ph.D.) in
    Computer Science, Machine Learning, or related disciplines
    .

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