6 - 11 years

17 - 25 Lacs

Posted:18 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, and deploy

    AI/ML models

    for image analysis, vision intelligence, and multimodal use cases.
  • Build and optimize

    Computer Vision models

    including object detection, segmentation, tracking, and image classification.
  • Develop and fine-tune

    NLP and speech models

    , as well as multimodal transformer architectures.
  • Implement

    real-time or near-real-time video processing pipelines

    .
  • Optimize models for

    GPU performance

    , including memory efficiency, parallelization, and distributed training.
  • Work with frameworks such as

    DeepSpeed, Horovod, PyTorch Distributed

    for large-scale model training.
  • Collaborate with cross-functional teams to integrate AI solutions into production systems.
  • Conduct performance tuning, model evaluation, and enhancement for scalability and accuracy.
  • Stay updated on emerging AI technologies, transformer models, and vision-language advancements.

Must-Have Skills

  • Strong experience in

    AI/ML, Computer Vision, Image Analysis, and Vision Analytics

    .
  • Hands-on with

    CV models

    (YOLO, Detectron, EfficientNet, Vision Transformers, SAM, etc.).
  • Expertise in

    NLP, Speech Models

    , and

    multimodal transformers

    (CLIP, BLIP, LLaVA, etc.).
  • Deep understanding of

    GPU optimization techniques

    and

    distributed training

    using DeepSpeed, Horovod, or similar.
  • Experience in

    real-time or near-real-time video processing

    workflows.
  • Strong Python skills and experience with

    PyTorch / TensorFlow

    .
  • Familiarity with CUDA optimizations and large-scale AI workloads.

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