This role involves redefining the art of the possible by developing and testing Generative AI software solutions to support regulatory document authoring use cases
Job Summary
This role involves redefining the art of the possible by developing and testing Generative AI software solutions to support regulatory document authoring use cases.
The successful candidate will own end-to-end model integration, data engineering, and application development while mentoring engineers and defining architecture for secure, scalable AI solutions.
Join a global healthcare biopharma company with a 130-year legacy to drive innovation using data-backed approaches that tackle some of the world's greatest health threats.
Matching Summary
This role involves redefining the art of the possible by developing and testing Generative AI software solutions to support regulatory document authoring use cases.
Skills & Requirements
Must-have
Generative AI and Large Language Models
Retrieval-Augmented Generation (RAG)
Python and ML Frameworks
Data Pipelines and ETL
Vector Databases and Semantic Search
MLOps and Model CI/CD
Backend Development and APIs
Nice-to-have
Pharma and Regulatory Domain Knowledge
GxP Compliance Experience
Prompt Engineering and Evaluation
TypeScript and React Integration
Model Explainability Tools
Red-Team Testing Experience
Key Requirements
Bachelor's degree in Computer Science or related field
7+ years of software engineering experience
Hands-on experience with AI/ML systems and data engineering
Proficiency in Python and ML frameworks like PyTorch or TensorFlow