Senior Data Scientist

6 days ago

Pune, Maharashtra, India Netra Labs Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

Netra Labs redefines enterprise AI with Ground Truth, a platform that transforms expertise into powerful AI agents. This groundbreaking technology allows businesses to create digital twins to automate complex tasks efficiently. Ground Truth integrates with any language model, offering unmatched flexibility and precision through a user-friendly drag-and-drop interface. The platform features enterprise-grade governance, Human-In-The-Loop functionality, and robust validation modes for secure and efficient operations. Clients benefit from tailored AI solutions that drive significant ROI, with a focus on security, reliability, and scalability.

Role Description

This is a full-time on-site role for a Senior Data Scientist, located in Pune. The
Senior Data Scientist (LLMs & Computer Vision)
at
Netra Labs
will be responsible for designing, fine-tuning, and deploying advanced AI models that power enterprise-grade solutions. The role demands deep expertise in
Large Language Models (LLMs)
and
Computer Vision
, with a focus on building models for
classification, segmentation, detection, and OCR
tasks.

The ideal candidate will have a strong background in
transfer learning
,
synthetic data generation
, and
cloud-based model training and inference (AWS)
. They will work closely with engineering and product teams to convert complex business problems into scalable, high-performing AI solutions that deliver measurable impact.

Key Responsibilities

  • Fine-tune and deploy
    open-source LLMs
    (Llama, Mistral, Gemma, DBRX, etc.) for domain-specific applications.
  • Build and optimize
    Computer Vision models
    for
    image classification, segmentation, object detection, and OCR
    using frameworks like
    RCNN, Faster RCNN, Mask RCNN, YOLO
    , and
    Vision Transformers
    .
  • Apply
    transfer learning
    ,
    quantization
    , and
    inference optimization
    to improve model efficiency and performance.
  • Develop
    synthetic data generation pipelines
    to enhance model training for both text and vision tasks.
  • Leverage
    AWS services
    (SageMaker, S3, EC2, Lambda, ECR) for large-scale training and inference.
  • Collaborate with product and engineering teams to deliver production-ready AI models and workflows.
  • Lead model evaluation, benchmarking, and continuous improvement initiatives.

Qualifications

  • Data Science, Data Analysis, and Data Analytics skills
  • Proficiency in Statistics and Data Visualization
  • Experience with machine learning algorithms and tools
  • Strong programming skills in Python.
  • Ability to work collaboratively in a cross-functional team environment
  • Excellent problem-solving and analytical skills
  • Master's in Data Science, Computer Science, or a related field

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