Principal Machine Learning Engineer

Role: Principal Machine Learning Engineer responsible for developing and scaling enterprise AI/ML and Generative AI solutions within Amgen's biopharma focus. Objectives include establishing AI architecture standards, building production ML/GenAI pipelines, integrating models into applications with sub-second latency, and ensuring model robustness, safety, and compliance. Responsibilities encompass managing end-to-end ML workflows, deploying secure and cost-efficient models, leading evaluation and drift detection, and contributing reusable AI components. Qualifications: Doctorate with 2+ years or equivalent experience in AI/ML, leadership experience, proficiency in Python/Java, cloud platforms (AWS, Azure, GCP), containerization, and MLOps; strong understanding of ML algorithms and GenAI tools. Preferred: biotech/pharma industry experience, published thought leadership, advanced degrees, and scaled Agile methodology familiarity. High-value biopharma details: enterprise AI architecture, GenAI, LLMs, RAG, model governance, and compliance considerations. Collaboration involves cross-functional teams including DevOps, Security, and Product. Work setup: details not explicitly provided, but implies enterprise environment with cloud/on-prem infrastructure.