Machine Learning Engineer, AI Studio
Core
Design, build, and launch scalable AI products and automation solutions for Amgen's enterprise, turning business challenges into governed, reusable assets across the full lifecycle from prototyping to production.
Role type
Senior IC Machine Learning Engineer (Applied AI / Generative AI)
Builds
Enterprise AI products, inference services, data pipelines, retrieval components, bounded agents, and MLOps infrastructure.
Domain
Life Sciences / Biotech / Healthcare
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Generative AI, RAG, bounded agents, classical ML, MLOps, cloud-native services, data pipeline engineering, software engineering best practices
Preferred skills
PyTorch, TensorFlow, LangChain, Kubernetes, AWS, healthcare/GxP experience, agent orchestration, causal inference
Technologies
Python, SQL, PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LlamaIndex, AWS, Bedrock, SageMaker, Databricks, Spark, Kubernetes, MLflow, Airflow, Kubeflow, GitHub Actions
Responsibilities
Define component boundaries and technical estimates; design and implement maintainable Python, SQL, API, and model components; apply statistical methods and error analysis; build GenAI, NLP, and agent components; engineer data and evaluation pipelines; release and support components using cloud services and CI/CD; apply security, privacy, and GxP controls.
Seniority
Senior, hands-on IC
