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Principal Machine Learning Engineer

A leading biotechnology company that harnesses biology and technology to develop innovative medicines, established over 40 years ago.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
12+ years of experience
AI · Healthcare · Biotech

Description For Principal Machine Learning Engineer

Amgen, a pioneering biotechnology company with over 40 years of history, is seeking a Principal Machine Learning Engineer to serve as their most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. This role sits at the crucial intersection of engineering excellence and data-science enablement, where you'll be responsible for designing core services, infrastructure, and governance controls that enable hundreds of practitioners to work with ML models securely and efficiently.

The position offers a unique opportunity to shape the future of AI implementation in biotechnology, working with cutting-edge technologies including classical ML, deep learning, and LLMs. As a "player-coach," you'll be responsible for establishing platform strategy, defining technical standards, and collaborating with various teams to deliver enterprise-grade AI solutions.

The ideal candidate will bring 12+ years of experience in Computer Science or related fields, with deep expertise in machine learning algorithms, GenAI tooling, and cloud platforms. You'll need to demonstrate not just technical excellence, but also strong business acumen and stakeholder management skills.

Working at Amgen means joining a company committed to fighting the world's toughest diseases and making a real impact on patients' lives. The company offers a collaborative environment where you'll work with global teams, contribute to groundbreaking innovations, and help establish new standards in biotechnology and AI implementation.

This role is based in Hyderabad, India, and requires on-site presence. It's an excellent opportunity for someone looking to apply their ML expertise in a meaningful way while working for one of the world's leading biotechnology companies.

Last updated 7 days ago

Responsibilities For Principal Machine Learning Engineer

  • Engineer end-to-end ML pipelines
  • Harden research code into production-grade micro-services
  • Build and maintain full-stack AI applications
  • Optimize performance and cost at scale
  • Instrument comprehensive observability
  • Embed security and responsible-AI controls
  • Contribute reusable platform components
  • Perform exploratory data analysis
  • Partner with data scientists to prototype and benchmark new algorithms

Requirements For Principal Machine Learning Engineer

Python
Java
Kubernetes
  • 6-8 years in AI/ML and enterprise software
  • Comprehensive command of machine-learning algorithms
  • Experience with GenAI tooling: vector databases, RAG pipelines, prompt-engineering
  • Proficiency in Python and Java; containerisation (Docker/K8s)
  • Strong business-case skills
  • Master's degree with 10-14+ years or Bachelor's degree with 12-17+ years in Computer Science
  • Expert knowledge in cloud platforms (AWS, Azure or GCP)
  • Strong stakeholder management skills

Benefits For Principal Machine Learning Engineer

  • Equal Opportunity Employer
  • Reasonable accommodation for individuals with disabilities

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