Principal Machine Learning Engineer (Reinforcement Learning)

Amgen Inc. (IR); Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Amgen Inc. is seeking a Principal-level AIML Engineer to design and deploy RL-driven AI systems with a strong focus on decision intelligence. You will lead scalable AI solutions from research to production across enterprise platforms, mentoring engineers and guiding architectural choices.

The role requires deep RL expertise, hands-on ML at scale, and collaboration with data scientists, engineers, and product teams to deliver enterprise-grade AI solutions.

Qualifications

• Strong expertise in Reinforcement Learning (Deep RL, Policy Optimization, RLHF).
• Hands-on experience building production AI/ML systems at scale.
• Proficiency in Python and software engineering practices.

Responsibilities

• Design and develop RL models for real-world decision problems.
• Build and deploy scalable ML pipelines and production AI systems.
• 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 and automation.
• Translate research into production-grade ML systems with reliable lifecycle management.
• Partner with data scientists, engineers, and product teams to deliver enterprise AI solutions.
• Evaluate new AI techniques and drive adoption; mentor engineers and provide leadership.

Skills

Reinforcement Learning

Python programming

MLOps

Distributed Systems & Cloud

Education

Bachelor's or Master's in CS/AI/ML

Tools

MLflow

Kubeflow

SageMaker

Job description

Career Category Information Systems Job Description Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s 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 what’s 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

• 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

• Bachelor's or Master's 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

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

For more information, visit www.amgen.com and follow us on www.twitter.com/amgen