Senior AI/ML Engineer

6 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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About the Role

Senior AI/ML Engineer

applied AI systems

Key Responsibilities

  • Fine-tune and optimize

    LLMs

    using

    QLoRA, PEFT, and Hugging Face Accelerators

    .
  • Implement

    VLLM

    for efficient large-scale inference.
  • Build

    distributed and parallel training systems

    (DeepSpeed, Ray, PyTorch DDP).
  • Develop

    computer vision models

    using

    YOLO and OpenCV

    for real-world applications.
  • Deploy and manage AI/ML models on

    AWS SageMaker, GCP Vertex AI

    , and other

    cloud MLOps platforms

    .
  • Design and implement

    event-driven AI pipelines

    with

    Cloud Pub/Sub

    and other messaging systems.
  • Define and track

    LLM and CV evaluation metrics

    (accuracy, factuality, hallucination rate, object detection performance).
  • Integrate

    graph-based LLM tools

    for knowledge reasoning and

    multi-agent AI systems

    .

Requirements

  • 6+ years

    in AI/ML, with

    3+ years in LLM and applied computer vision systems

    .
  • Expertise in

    Python, PyTorch, Hugging Face, QLoRA/LoRA, VLLM, YOLO, and OpenCV

    .
  • Experience with

    distributed systems, AWS/GCP cloud MLOps

    , and

    vector databases (FAISS/Milvus)

    .
  • Familiarity with

    LangChain/LlamaIndex

    ,

    agent-based AI frameworks

    , and

    event-driven architectures (Cloud Pub/Sub)

    .
  • Strong track record of

    deploying AI/ML models into production at scale

    .


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