The Machine Learning Engineer position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization at Amgen, a biotechnology company that discovers, develops, manufactures, and delivers innovative medicines to help millions of patients. As a Machine Learning Engineer, you will design, develop, deploy, and support AI/ML solutions from experimentation to production, and work closely with architects, product teams, and platform teams to deliver scalable, reliable, and responsible AI solutions that align with enterprise architecture and business goals.
Requirements
- Design, build, and deploy machine learning and GenAI solutions that address business needs and integrate with enterprise platforms.
- Collaborate with data scientists, product owners, solution architects, and platform engineers to move models from experimentation to production.
- Build and maintain scalable MLOps pipelines, including data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining.
- Develop secure, scalable, reliable, and maintainable solutions aligned with DevSecOps and enterprise architecture standards.
- Leverage cloud platforms such as AWS and Databricks for model development, orchestration, deployment, and monitoring.
- Implement model observability, explainability, performance tracking, and operational health checks to ensure reliable production performance.
- Support development of GenAI and agent-enabled solutions using modern frameworks, vector stores, RAG pipelines, and orchestration tooling where applicable.
- Optimize ML systems for performance, cost, scalability, and maintainability across environments.
- Contribute reusable components, templates, and engineering best practices that improve delivery speed and consistency across teams.
- Develop and execute unit tests, integration tests, and validation strategies to ensure solution quality and resilience.
- Create and maintain technical documentation covering architecture, design, deployment, operations, and support procedures.
- Troubleshoot production issues, resolve technical challenges, and provide ongoing support and maintenance for deployed solutions.
- Analyze user feedback, operational metrics, and support trends to identify improvement opportunities and enhance solution effectiveness.
- Stay current with emerging AI/ML, GenAI, agentic automation, and MLOps technologies, and evaluate their applicability within Amgen’s ecosystem.
- Guide junior engineers and contribute to team learning through code reviews, knowledge sharing, and engineering standard methodologies.
Benefits
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
