Principal Machine Learning Engineer
Core
Build and scale end-to-end machine-learning and generative-AI solutions for enterprise use cases in a regulated environment.
Role type
Principal Machine Learning Engineer (Senior IC with strategy & mentorship) (via careerplan.io/jobs/R-237978-principal-machine-learning-engineer-at-amgen)
Builds
Production ML/GenAI solutions, lightweight applications, and reusable platform components (feature stores, model registries)
Domain
Biotechnology / Pharma / Enterprise AI
Required skills
Machine learning algorithms (regression, ensembles, deep learning, LLMs), GenAI tooling (vector DBs, RAG, prompt engineering), Python, Java, Cloud (AWS/Azure/GCP), MLOps (Kubeflow, SageMaker), Containerization (Docker/K8s), Stakeholder management, Technical leadership
Preferred skills
Biotechnology/pharma domain knowledge, Regulated environment experience, Agile/SAFe methodologies
Technologies
Kubeflow, SageMaker Pipelines, Open AI SDK, LangChain, LangGraph, Semantic Kernel, Docker, K8s, AWS, Azure, GCP
Responsibilities
Own enterprise AI/ML architecture and standards; Build end-to-end ML pipelines; Architect LLM/RAG solutions; Lead rigorous evaluation and drift detection; Contribute reusable platform components; Translate domain needs into technical roadmaps; Lead architecture reviews and governance
Seniority
Principal, hands-on IC with strategic influence
