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Sr Machine Learning Engineer

A leading biotechnology company pioneering innovative medicines and therapeutics since 1980, focusing on using advanced human genetics to develop solutions for serious illnesses.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Healthcare · Biotech

Description For Sr Machine Learning Engineer

Amgen, a pioneering biotechnology company with over 40 years of experience, is seeking a Senior Machine Learning Engineer to join their team in Hyderabad. This role represents the highest level of individual contributor expertise in building and scaling end-to-end machine learning and generative AI platforms.

The position 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, deep learning, and LLMs securely and cost-effectively. As a "player-coach," you'll be instrumental in establishing platform strategy and technical standards while collaborating with various teams including DevOps, Security, Compliance, and Product.

The ideal candidate brings 8+ years of experience in AI/ML and enterprise software, with deep expertise in machine learning algorithms, GenAI tooling, and cloud technologies. You'll work on cutting-edge projects that directly impact Amgen's mission of harnessing biology and technology to fight serious diseases and improve patients' lives.

Key responsibilities include building end-to-end ML pipelines, optimizing performance at scale, implementing security controls, and contributing to platform components that enhance engineering velocity. You'll also partner with data scientists to prototype new algorithms and ensure robust model performance.

This role offers the opportunity to work with state-of-the-art technology while making a meaningful impact in healthcare and biotechnology. The position requires a combination of technical expertise, leadership skills, and business acumen, making it ideal for someone who wants to shape the future of AI applications in biotechnology.

Last updated 21 days ago

Responsibilities For Sr 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 Sr Machine Learning Engineer

Python
Java
Kubernetes
  • 3-5 years in AI/ML and enterprise software
  • Comprehensive command of machine-learning algorithms
  • Experience with GenAI tooling: vector databases, RAG pipelines
  • Proficiency in Python and Java
  • Experience with containerization (Docker/K8s)
  • Cloud expertise (AWS, Azure or GCP)
  • Strong business-case skills
  • Master's degree with 6-11+ years or Bachelor's degree with 8-13+ years in Computer Science
  • Strong verbal and written communication skills
  • Experience with modern DevOps/MLOps

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