The Senior AI Data Scientist is responsible for the design development and support of Artificial Intelligence (AI) systems spanning the fields of Generative AI (Gen AI), agentic workflows, Machine Learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA). These systems will support all aspects of Quality, Regulatory and Clinical Affairs (QRC).

This position reports to the Sr. Senior Manager Innovation DBSL and AI and is part of the Quality, Regulatory and Clinical Affairs team l ocated in Bangalore and will be an on-site role.

In this role, you will have the opportunity to:

Design, develop, and deploy cutting-edge AI and machine learning solutions, including Generative AI and agentic workflows, that directly enhance Quality, Regulatory, and Clinical Affairs (QRC) functions.
Lead the full lifecycle of AI applications , from initial data gathering and model development to robust deployment, hosting, and ongoing maintenance in production environments, leveraging DevOps and full-stack development principles.
Drive data-driven decision- making by applying advanced analytics and data visualization techniques, transforming complex data into actionable insights for business stakeholders using tools like Power BI.
Explore and integrate new and emerging AI technologies, continuously improving existing solutions and identifying innovative use cases to expand our AI capabilities across QRC.
Build custom applications and integrate solutions on top of existing enterprise systems and as standalone tools, utilizing both traditional programming (Python/R) and low-code/no-code platforms within the Microsoft Power Platform suite.

The essential requirements of the job include:

Bachelor s degree in computer science, Computer Information Systems or related field with 5+ years of experience or a Master s degree in related field with 3+ years of experience
Proficient in programming languages such as Python or R, with experience in developing ML models, custom pipelines, and working with open-source AI libraries (e.g., Hugging Face, Scikit-learn, Lang Chain, TensorFlow, etc.). Practical experience using AI, ML, and Generative AI in real-world applications is essential.
Strong data analytics and advanced analytics skills, including the ability to pull data, derive insights, and provide visualizations using business-friendly applications like Power BI.
Experience with deploying, hosting, and maintaining AI applications and models in production environments, demonstrating a foundational understanding of DevOps principles, full-stack development, and the ability to build custom applications on top of enterprise systems and standalone solutions.
Familiarity with Microsoft Power Platform (Power Apps, Power Automate, Power BI) for developing low-code/no-code solutions and integrating workflows.

It would be a plus if you also possess previous experience in:

FDA Regulated industry experience
In-depth understanding of AI, ML, Generative AI, and their applications in the healthcare and diagnostics industry.

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Senior AI Data Scientist