Total of 10 years, with at least 3 years of experience in GenAI and 7-8 years in AI, preferably within the Pharma sector.

Responsibilities:

Implement AI/Gen AI solutions in production environments, not just proof of concepts (POCs).

Build GenAI POCs and demonstrate advanced expertise in GenAI.

Reason through agentic systems and possess a solid command of Agentic AI systems.

Execute Python-level tasks with strong technical proficiency in Python.

Qualifications:

Proven experience as a hands-on Senior Data Scientist or Gen AI Architect.

Ability to articulate and differentiate various aspects of GenAI thinking.

Strong background in developing and implementing AI solutions in a production setting.

Gen AI Solutions Architect

Key skills