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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 company ranked #1 in Best Workplaces in Portugal, is seeking a Senior Machine Learning Engineer to join their Capability Center in Lisbon. This role offers an exciting opportunity to work at the intersection of AI and healthcare, focusing on designing and implementing sophisticated AI/ML systems including protein Language Models, LLMs, and computer vision models.

The position involves building and maintaining complex AI/ML lifecycle management systems across multiple cloud providers and in-house HPC services. You'll be responsible for developing data pipelines, implementing MLOps platforms, and ensuring AI/ML operations are efficient and reliable. The role requires expertise in cloud technologies (particularly AWS), containerization, and various MLOps frameworks.

Working in a diverse team of over 300 talented professionals from 35+ nationalities, you'll contribute to shaping the future of healthcare through innovative technology solutions. The position offers excellent career growth opportunities, competitive benefits, and the chance to work in Lisbon's city center in a hybrid work arrangement.

This role is perfect for someone who combines strong technical skills in ML engineering with excellent communication abilities and a passion for healthcare innovation. You'll be part of a company that prioritizes patient care and technological advancement, offering the opportunity to work on meaningful projects that impact people's lives.

The position comes with comprehensive benefits including healthcare coverage, financial benefits, career development opportunities, and flexible work arrangements. Amgen's commitment to diversity and inclusion creates an environment where innovative ideas are welcomed and valued.

Last updated 11 days ago

Responsibilities For Senior Machine Learning Engineer

  • Design, develop, and maintain data ELT pipelines, vectorization, and registries for dataset versioning and data drift detection
  • Lead the design and implementation of AI/ML lifecycle management systems
  • Take ownership of MLOps platform development from inception to deployment and maintenance
  • Collaborate with cross-functional teams to understand system requirements
  • Leverage cloud platforms (AWS preferred) to build scalable MLOps solutions
  • Develop and deliver training content for model lifecycle management best practices

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
  • Healthcare benefits
  • Financial benefits
  • Career development opportunities
  • Flexible work arrangements
  • Global mobility opportunities

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