Machine Learning Engineer
Core
Build and maintain the technical foundations for AI products, owning the full AI lifecycle from data ingestion through model development, deployment, and monitoring in a drug development context.
Role type
Senior IC machine learning engineer (pharma/AI)
Builds
Production-grade AI models, scalable ML pipelines, LLM-based tools, and microservices for drug development.
Domain
Biopharmaceuticals / Translational Pharmaceutics / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, R, TensorFlow, PyTorch, Scikit-learn, AWS SageMaker, MLflow, CI/CD, MLOps, LLMs, vector search, retrieval-augmented systems, GxP validation standards
Preferred skills
None explicitly stated as preferred
Technologies
AWS SageMaker, MLflow, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Design, develop, and deploy AI/ML models; build and maintain scalable ML pipelines; deploy models to production using containerization and MLOps; develop LLM-based tools with prompt engineering and retrieval; build APIs and microservices; set up monitoring for model drift and performance; embed responsible AI practices and compliance; collaborate with cross-functional teams to translate requirements; produce documentation for models and pipelines.
Seniority
Senior, hands-on IC
