Principal Machine Learning Engineer (Reinforcement Learning)
Amgen · Hyderabad, India
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Role summary
Amgen seeks a Principal Machine Learning Engineer in Hyderabad to design and deploy advanced AI/ML systems, with emphasis on reinforcement learning and decision intelligence. The role requires translating research into production systems, leading scalable AI pipelines, and mentoring engineering teams across enterprise platforms. Requires 12–17 years of ML/AI experience, expertise in deep RL and MLOps, and a Master's degree in a related field.
What they're looking for
- Deep reinforcement learning expertise including policy optimization and RLHF
- Production-scale AI/ML systems design and deployment experience
- Advanced Python programming skills
- MLOps platform proficiency such as MLflow, Kubeflow, or SageMaker
- Distributed systems and cloud infrastructure knowledge on AWS, Azure, or GCP
- Model deployment, monitoring, and lifecycle management experience
- Bachelor's or Master's degree in Computer Science, AI, ML, or related field
What you'll be doing
- Design and develop reinforcement learning models for real-world decision-making applications
- Build and deploy scalable ML pipelines following MLOps best practices
- Architect end-to-end AI systems integrating RL with generative AI and agent frameworks
- Lead development of multi-agent systems for planning, reasoning, and automation
- Mentor engineers and provide technical leadership on AI architecture and strategy
Privacy & handoff
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