Senior AI/ML Engineer
Core
Design, develop, and deploy scalable machine learning systems, with a focus on large language model (LLM) applications, to extract insights from complex healthcare data for life sciences organizations.
Role type
Senior AI/ML Engineer (LLM focus)
Builds
Scalable ML-native platforms and production-ready LLM solutions for clinical research and real-world evidence generation.
Domain
Life sciences / Healthcare / Real-world evidence
Deliverable
production ML models
Required skills
Python, backend/cloud platform development, modern ML and LLM techniques, scalable enterprise software development, drift detection and observability, technical mentorship
Preferred skills
0-to-1 end-to-end ML system development, LLM fine-tuning and prompt engineering, RAG architecture (vectorization, vector stores), healthcare/clinical informatics background
Technologies
Python, cloud platforms, LLM frameworks, vector stores
Responsibilities
Design and deploy scalable ML software systems for healthcare analytics; translate state-of-the-art LLM research into production solutions; manage complex clinical data pipelines; implement monitoring and observability for ML systems; cultivate ML engineering culture and mentor team members; partner with cross-functional teams to build enterprise platforms.
Seniority
Senior, hands-on IC with technical leadership