Lead Data Scientist

4 days ago

Bangalore, India Zensar Technologies Full time

Position: Lead Data Scientist

Experience: 7 to 13 Years

Location: Pune, Bangalore, Hyderabad ( All Zensar)

Notice Period: Immediate

Work Mode: Hybrid

Job Summary:

We are seeking an experienced and highly motivated Senior Data Scientist with a strong background in Generative AI , agentic systems , and end-to-end deployment of AI solutions. This role demands proficiency not only in building intelligent systems but also in operationalizing them using MLOps best practices and cloud-based deployment strategies. The ideal candidate will thrive at the intersection of data science, software engineering, and infrastructure.

Key Responsibilities:

  • Design, develop, and deploy advanced AI-powered chatbots and agent-based solutions using frameworks like LangChain and LangGraph .
  • Build and maintain backend APIs and user-facing interfaces using FastAPI and Streamlit .
  • Leverage Snowflake for data integration, transformation, and analytics.
  • Implement and manage MLOps pipelines for model training, validation, versioning, and monitoring.
  • Deploy models and applications on AWS and GCP , ensuring scalability, reliability, and security.
  • Use Redis for caching and real-time data access in production-grade applications.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.
  • Prepare and deliver effective presentations to stakeholders and leadership teams.
  • Ensure code quality, testing, and documentation in Python environments.

Required Skills:

  • 7-13 years of hands-on experience in Data Science , with a focus on deployment.
  • Proven experience in Chatbot development , Agentic AI , and LLM-based frameworks .
  • Strong Python programming skills, including use of PyTorch , LangChain , and LangGraph .
  • Proficient in MLOps practices : CI/CD for ML, model monitoring, version control, and automated retraining.
  • Experience deploying solutions on cloud platforms (AWS, GCP).
  • Backend and app development experience with FastAPI , Streamlit , and Redis .
  • Strong working knowledge of Snowflake and data engineering workflows.
  • Excellent communication and presentation skills , with the ability to convey technical topics to non-technical audiences.
  • Experience with containerization tools like Docker and orchestration with Kubernetes .
  • Exposure to prompt engineering and LLM fine-tuning.

Nice to Have:

  • Familiarity with tools like MLflow , DVC , Vertex AI .
  • Experience working in agile product teams or startup environments.

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