Principal Machine Learning Engineer (Reinforcement Learning)
At a glance
Senior Machine Learning Engineering role at Amgen. Hyderabad · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build reinforcement-learning models, including RLHF and multi-agent approaches, for practical decision-making needs
- Take ML pipelines and AI systems into production, applying MLOps practices to support scale and reliability
- Design AI architectures that connect reinforcement learning with generative AI, language models or agent frameworks
- Guide teams building agents for planning and automation, and turn research ideas into dependable deployed systems
- Assess emerging AI methods, advise engineers on architecture and mentor them through technical work
What you bring
- You have twelve to seventeen years in machine learning engineering, AI engineering or a related area
- You hold a bachelor's or master's degree in computer science, AI, machine learning or a related discipline
- You bring deep reinforcement-learning expertise, strong Python skills and experience delivering ML systems at scale
- You have worked with MLOps, distributed systems or cloud platforms, and model deployment, monitoring and lifecycle management
Who this fits
This principal-level role suits a senior engineer who can lead AI architecture, mentor colleagues and carry systems from research through production. You’ll work across global teams and collaborate with data scientists, engineers and product teams.
From the employer
Career Category
Information SystemsJob 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 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.
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