Machine Learning Engineer
Core
Build and deploy production-grade ML software, tools, and infrastructure for life science clients to optimize research and commercialization of therapies.
Role type
Senior IC machine learning engineer (life sciences)
Builds
Scalable ML systems, reusable software architecture, and production-grade ML infrastructure for pharma, MedTech, and academic partners.
Domain
Life sciences / Healthcare AI
Deliverable
production ML models
Required skills
Python, Scikit-learn, TensorFlow, PyTorch, AWS/Azure/GCP, Docker, Kubernetes, software engineering best practices, probability, statistics
Preferred skills
Cloud architecture and security, container orchestration, technical advisory, stakeholder communication
Technologies
Scikit-learn, TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Build and deploy production-grade ML software and infrastructure; Create reusable, scalable solutions; Collaborate with engineers and commercial leads; Lead technical scoping and architectural decisions; Define standards for deploying ML at scale; Act as a technical advisor to customers.
Seniority
Senior, hands-on IC
