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Senior Engineer - Machine learning

Senior Engineer - Machine learning

AmgenLisboa, Lisboa, Portugal
Há 10 dias
Descrição da vaga

Join to apply for the Senior Machine Learning Engineer role at Amgen

2 weeks ago Be among the first 25 applicants

Join to apply for the Senior Machine Learning Engineer role at Amgen

HOW MIGHT YOU DEFY IMAGINATION?

Join our team at AMGEN Capability Center Portugal , ranked as the number 1 company in Best Workplaces in Portugal (category 201-500 employees) by the Great Place to Work Institute. We have over 300 talented professionals from more than 35 nationalities, working across diverse areas such as Cybersecurity, Data & Analytics, Digital, Technology and Innovation, and more. Located in Lisbon's city center, our AMGEN office fosters innovation, excellence, and inspiration. Join us to support our mission : To Serve Patients. What we do at AMGEN truly matters in people's lives.

SNR MACHINE LEARNING ENGINEER

LIVE

What You Will Do

You will design, build, and maintain AI / ML data and model lifecycle management systems supporting various models, including protein Language Models, LLMs, classical ML models, and computer vision models. You’ll work cross-functionally to develop data and model management systems on multiple cloud providers and in-house HPC services, ensuring AI / ML operations are efficient, reproducible, and reliable.

The responsibilities include :

  • 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, including infrastructure for experiment tracking, model training, evaluation, and deployment pipelines
  • Manage MLOps platform development from inception to deployment and maintenance, overseeing scope, timelines, dependencies, and risks
  • Collaborate with cross-functional teams to understand system requirements and implement solutions that meet business needs
  • Utilize cloud platforms (preferably AWS) to build scalable MLOps solutions
  • Communicate effectively with product teams
  • Follow best practices in coding, testing, and creating reusable components
  • Develop training content and knowledge articles to educate scientists on model lifecycle management using the MLOps platform

WHAT WE EXPECT OF YOU

Our ideal candidate

  • Bachelor’s degree in a relevant field
  • Experience with deployment and maintenance of AI / ML models in production
  • Hands-on experience with cloud platforms like Databricks, AWS (preferred), and Azure
  • Proficiency with AI and MLOps frameworks and tools (mlflow, kubeflow, weights & biases, terraform, etc.)
  • Experience with containerization (Docker, Kubernetes)
  • Strong problem-solving skills and ability to work with large datasets
  • Excellent communication and collaboration skills
  • Ability to function effectively in a team
  • Presentation skills
  • Fluent in English (written and spoken)
  • WHAT YOU CAN EXPECT FROM US

  • Opportunities to learn, develop, and advance within our global organization
  • Diverse, inclusive community encouraging ideas, risk-taking, and action
  • Comprehensive rewards including healthcare, financial, and career benefits
  • Flexible work arrangements
  • APPLY NOW FOR A CAREER THAT DEFIES IMAGINATION

    Join us in our mission to serve patients. At Amgen, we innovate and imagine first, and doubt last. Apply at CAREERS.AMGEN.COM .

    EQUAL OPPORTUNITY STATEMENT

    Amgen is an Equal Opportunity employer. We consider all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities during the application and interview process. Please contact us to request an accommodation.

    Additional Details

  • Seniority level : Not Applicable
  • Employment type : Full-time
  • Job function : Analyst and Information Technology
  • Industries : Biotechnology Research and Pharmaceutical Manufacturing
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    Machine Learning Engineer • Lisboa, Lisboa, Portugal