Senior AI/Machine Learning Engineer

3 days ago

Hyderabad Secunderabad Telangana, India beBeeAgile Full time

Senior AI/Machine Learning Engineer

Amgen is seeking a highly skilled and experienced Senior AI/ML Engineer with deep expertise in multi-agent system design to drive the next generation of enterprise AI innovation.

In this role, you will spearhead the development of scalable, secure, and intelligent agent-based AI/ML platforms while mentoring teams, setting technical direction, and aligning AI strategies with business objectives.

You will serve as a hands-on technical leader in reinforcement learning (RL), RLHF, active learning, and other agentic methodologies playing a vital role in advancing Amgen's digital transformation and accelerating innovation in life sciences.

Key Responsibilities:
  • AI/ML Thought Leadership & Mentorship
  • Mentor AI/ML engineers and data scientists in modern agent-based design patterns.
  • Foster a culture of innovation and continuous learning in emerging AI fields.
Agent-Based System Development
  • Architect and deploy multi-agent AI systems that enhance decision-making, automation, and adaptive intelligence.
  • Prototype and optimize reinforcement learning models and agentic frameworks.
Strategic Framework Development
  • Define scalable and secure AI/ML frameworks for agentic infrastructure focusing on enterprise-wide application.
  • Create reusable blueprints SDKs and technical standards for multi-agent systems.
Enterprise-Level Integration
  • Work cross-functionally with platform product and operations teams to embed intelligent agents into Amgen's core digital ecosystems.
  • Translate business challenges into AI/ML agentic solutions aligned with corporate objectives.
Innovation & Research
  • Drive R&D in cutting-edge AI disciplines such as RLHF self-play and decentralized intelligence.
  • Evaluate and adopt new toolkits methodologies and agentic paradigms for Amgen's evolving AI stack.
Performance Quality & Compliance
  • Ensure AI solutions meet enterprise-grade requirements for scalability security and maintainability.
  • Maintain rigorous documentation and testing practices to support auditability and future enhancements.
Basic Qualifications:
  • Master's degree and 8–10 years of experience in AI/ML or
  • Bachelor's degree and 10–14 years of experience or
  • Diploma and 14–18 years of progressive experience in AI machine learning and data science.
Required Technical Expertise:
  • Proven track record in designing and implementing agent-based AI/ML systems.
  • Deep knowledge of:
  • Reinforcement learning (e.g. PPO DQN A3C)
  • RLHF (Reinforcement Learning from Human Feedback)
  • Active learning workflows
  • Experience with agent-based modeling frameworks (e.g. Rasa PettingZoo OpenAI Gym or custom agentic environments).
  • Strong skills in cloud-based ML platforms (e.g. AWS SageMaker Azure ML GCP Vertex AI).
  • Proficient in languages and tools such as Python TensorFlow PyTorch Ray RLlib JAX.
Preferred Qualifications:
  • Working knowledge of data privacy and security regulations relevant to AI (e.g. GDPR HIPAA).
  • Background in project leadership of complex AI systems.
  • Experience authoring technical documentation and AI design artifacts at enterprise scale.
  • Familiarity with life sciences pharmaceutical or regulated environments is a plus.
Soft Skills & Leadership Competencies:
  • Visionary leadership with the ability to inspire and align cross-functional teams.
  • Strategic mindset able to bridge emerging AI capabilities with long-term business value.
  • Strong communication and collaboration skills across technical and non-technical stakeholders.
  • High adaptability to emerging technologies with a passion for innovation and experimentation.

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