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Senior Machine Learning Engineer

Amgen is a leading independent biotechnology company focused on discovering, developing, and manufacturing innovative human therapeutics for serious illnesses.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Healthcare · Biotech · AI

Description For Senior Machine Learning Engineer

Amgen, a leading biotechnology pioneer since 1980, is seeking a Senior Machine Learning Engineer for their Capability Center in Lisbon, Portugal. This role offers an exciting opportunity to work at the intersection of AI and biotechnology, designing and implementing sophisticated ML systems for various applications including protein Language Models and computer vision.

The position involves building and maintaining AI/ML lifecycle management systems across multiple cloud providers and in-house HPC services. You'll be responsible for creating robust data pipelines, implementing MLOps platforms, and ensuring efficient, reproducible AI operations. This role is perfect for someone who combines strong technical ML engineering skills with collaborative abilities.

Working at Amgen's Lisbon office, ranked #1 in Best Workplaces (201-500 employees category), you'll join a diverse team of over 300 professionals from 35+ nationalities. The company offers comprehensive benefits, flexible work arrangements, and significant career growth opportunities. This role directly contributes to Amgen's mission of serving patients and advancing healthcare through innovative biological solutions.

The ideal candidate should have extensive experience with MLOps, cloud platforms (particularly AWS), and containerization technologies. You'll work cross-functionally, leading technical implementations while also serving as a knowledge resource for resident scientists. This position offers the unique opportunity to impact healthcare through cutting-edge ML applications while working for a global leader in biotechnology.

Last updated 6 days ago

Responsibilities For Senior Machine Learning Engineer

  • Design, develop, and maintain data ELT pipelines, vectorization, and registries
  • Lead AI/ML lifecycle management systems implementation
  • Take ownership of MLOps platform development
  • Collaborate with cross-functional teams
  • Build scalable MLOps solutions using cloud platforms (AWS preferred)
  • Develop and deliver training content for model lifecycle management
  • Design and implement solutions for protein Language Models, LLMs, ML models, and computer vision models

Requirements For Senior Machine Learning Engineer

Python
Kubernetes
  • Bachelor's degree in relevant subject
  • Experience with deployment and maintenance of AI/ML models in production
  • Hands-on experience with cloud technologies (Databricks, AWS, Azure)
  • Experience with AI and MLOps frameworks (mlflow, kubeflow, weights & biases, terraform)
  • Experience with containerization (docker, Kubernetes)
  • Strong problem-solving skills
  • Strong communication and collaboration skills
  • Fluent English – written and spoken

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Healthcare benefits
  • Financial benefits
  • Career development opportunities
  • Flexible work arrangements
  • Global mobility opportunities

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