Senior Data Scientist

Senior Data Scientist

This is a strategic and hands-on role where you will work on next-gen AI products including intelligent assistants, enterprise automation tools, and AI-integrated decision systems designed to improve operational efficiency and user engagement in healthcare and allied industries.

Key Responsibilities:

• Lead the end-to-end development of

  LLM-powered solutions

  , including fine-tuning, prompt engineering, and dynamic context handling.
• Design and implement

  Agentic AI workflows

  to automate and streamline business operations across healthcare and life sciences use cases.
• Translate business problems into scalable

  AI/ML pipelines

  , ensuring alignment with domain-specific compliance and data sensitivity requirements.
• Build and optimize

  Reinforcement Learning-based digital twin models

  and autonomous decision systems.
• Develop intelligent

  enterprise search

  and

  customer service automation tools

  using GenAI, NLP, and multi-intent query understanding.
• Design robust, production-grade ML services using

  Python, Flask, TensorFlow, PyTorch

  , and containerized deployment via

  Docker

  .
• Collaborate cross-functionally to build data-centric products and drive

  research-to-deployment

  lifecycle.
• Provide technical leadership in system architecture, MLOps integration, and solution optimization for real-time performance.
  
• Contribute to internal documentation, training, and patentable innovation initiatives.
  

Required Skills & Qualifications:

• 4+ years of professional experience in

  AI/ML development and deployment

  , with demonstrated success in real-world production environments.
• Strong programming skills in

  Python

  and deep learning frameworks like

  TensorFlow, PyTorch, Keras

  .
• Hands-on experience with

  Generative AI

  ,

  LLM fine-tuning

  , and

  agent-based AI systems

  .
• Expertise in

  NLP

  , voice AI, and

  Reinforcement Learning

  .
• Proven ability to develop and deploy solutions for

  Healthcare and Life Sciences

  , with an understanding of the domain’s challenges and regulations.
• Experience in designing APIs and building scalable microservices for AI inference and data processing.
  
• Familiarity with

  DevOps practices

  , version control, CI/CD pipelines, and container technologies (e.g., Docker, Git).
• Master’s degree in

  Signal Processing, Machine Learning, Computer Science

  , or related field (PhD or research background is a strong advantage).

Nice to Have:

• Experience building AI applications that support

  clinical workflows, biomedical data analysis

  , or

  patient-centric digital tools

  .
• Background in

  healthcare AI platforms

  , digital therapeutics, or life sciences R&D data platforms.
• Contribution to

  AI research publications

  , open-source projects, or patents.

• Preferences will be given to immediate joiners