Data Science Lead

4 days ago

Ahmedabad, Gujarat, India Cozzera Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Position Title:
Data Science Lead – AI & Generative AI Solutions

Experience:
6–10 Years

Location:
Oniste- Vadodara / Ahmedabad

Employment Type:
Full-time

About the Role

We are looking for an
AI / Generative AI Technical Lead
with deep experience in
Data Science, Machine Learning, and Generative AI
. You will be responsible for designing, developing, and deploying production-grade AI solutions that leverage modern ML pipelines, open-source LLMs, and cloud-based data platforms.

This is a hands-on technical leadership role, involving solution design, implementation, and mentoring of development teams to deliver enterprise-grade AI/GenAI projects.

Key Responsibilities

  • Design and implement
    end-to-end ML and GenAI solutions
    — including data collection, model training, deployment, and monitoring.
  • Build
    production-grade ML pipelines
    (data preprocessing, feature engineering, model building, validation, and performance tuning).
  • Design and develop
    Generative AI applications
    using open-source LLMs and cloud-based platforms.
  • Work with
    Computer Vision and Core ML
    frameworks to deliver real-world AI use cases.
  • Implement
    RAG architectures
    , fine-tune models (OpenAI, Llama, Mistral, Hugging Face, etc.), and optimize performance.
  • Build
    API-based integrations
    for AI and Data Science applications.
  • Collaborate with pre-sales and solution teams to design POCs and technical proposals.
  • Mentor junior data scientists and engineers.
  • Ensure best practices in version control, DevOps, and model governance.

Required Skills & Qualifications

  • 6–10 years
    of total experience, with strong expertise in
    Data Science, AI, and Generative AI
    .
  • Proven record of:
  • 2–3 ML applications
    deployed to production.
  • 1–2 Generative AI applications
    deployed to production.
  • 3+ AI/Data Science projects
    delivered end-to-end.
  • Hands-on coding experience with
    Python, PyTorch, TensorFlow, Spark/PySpark, SQL, NLP frameworks
    .
  • Strong understanding of
    GenAI tools
    ,
    RAG
    , and
    LLM fine-tuning
    .
  • Experience with
    OpenAI, Llama, Mistral, Hugging Face models
    .
  • Knowledge of
    data engineering workflows
    – data lakes, pipelines, and warehouses.
  • Familiarity with
    Docker, Kubernetes
    , and
    DevOps deployment pipelines
    .
  • Excellent problem-solving, analytical, and communication skills.

Nice-to-Have (Preferred Skills)

  • Hands-on experience with
    Azure AI, Databricks
    , or
    Google Cloud Vertex AI
    .
  • Understanding of
    SaaS/enterprise-grade AI architectures
    .
  • Exposure to
    configuration management
    and
    CI/CD automation tools
    .

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