Principal Machine Learning Engineer
Amgen · Hyderabad · onsite · Posted 56d ago
Undisclosed12–17 yrsfulltimeSourced from
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About this role
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond whats known today.
ABOUT THE ROLE
Role Summary
Principal-level AIML Engineer responsible for designing and deploying advanced AI/ML systems with a strong focus on Reinforcement Learning (RL) and decision intelligence. Will act as a technical leader driving scalable AI solutions from research to production across enterprise platforms.
Key Responsibilities
- Design and develop Reinforcement Learning models (RL, RLHF, multi-agent RL) for real-world decision-making problems
- Build and deploy scalable ML pipelines and production AI systems using MLOps best practices
- Architect end-to-end AI systems integrating RL with GenAI, LLMs, or agent-based frameworks
- Lead development of agent-based / multi-agent AI systems for planning, reasoning, and automation
- Translate research concepts into production-grade, reliable ML systems
- Partner with data scientists, engineers, and product teams to deliver enterprise AI solutions
- Evaluate new AI techniques (RLHF, agentic systems, deep RL) and drive adoption
- Mentor engineers and provide technical leadership and architectural guidance
Must-Have Skills
- Strong expertise in Reinforcement Learning (Deep RL, Policy Optimization, RLHF)
- Hands-on experience building production AI/ML systems at scale
- Strong programming in Python
- Experience with MLOps (MLflow, Kubeflow, SageMaker, etc.)
- Knowledge of Distributed Systems & Cloud (AWS/Azure/GCP)
- Experience in model deployment, monitoring, and lifecycle management
- Strong understanding of ML/DL algorithms and optimization techniques
Good-to-Have
- Experience with multi-agent systems / agentic AI frameworks
- Exposure to LLMs, RAG, or Generative AI systems
- Experience with simulation environments (Gym, RLlib, etc.)
- Background in optimization, control systems, or operations research
Qualifications
- Bachelors or Masters in Computer Science, AI, ML, or related field
- 12 to 17 years experience in ML/AI engineering or related domains
Behavioral / Leadership Expectations
- Strong technical leadership and mentoring capability
- Ability to translate complex AI concepts into business impact
- Ownership mindset with end-to-end delivery focus
- Collaboration across global teams
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Skills
AutomationTechnical LeadershipDistributed SystemsOperations researchreinforcement learningMLOpsgoogle cloud platformamazon web servicesProgrammingBiotechnologyPythoncloudResearchAlgorithmsAi SolutionsMicrosoft AzureGenerative AiArtificial IntelligenceMachine Learning
About Amgen
Amgen
Biotechnology
1.5k+
employees
1980
46 years old
Hyderabad, Telangana
India
About
Amgen operates in the biotechnology sector, developing and delivering advanced medicines to address critical health challenges globally.
Industries
BiotechnologyBiotech & Life sciences
Employee ratings
173 reviews
2.8/ 5
Culture
2.7
Career growth
2.5
Work-life
2.8
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