Senior Machine Learning Engineer
Senior Machine Learning Engineer
Portugal - Lisbon Apply NowHOW MIGHT YOU DEFY IMAGINATION?
Join our team at AMGEN Capability Center Portugal, number 1 company in Best Workplaces - https://www.greatplacetowork.pt/ - ranking in Portugal (category 201-500 employees) by the Great Place to Work Institute. We have a team of over 300 talented people and more than 35 different nationalities, diverse areas of expertise and professional experience that are shaping the future of healthcare. This is your chance to explore a world of opportunities in different areas such as Cybersecurity, Data & Analytics, Digital, Technology and Innovation, Finance, General & Admin, Human Resources, Regulatory Affairs and many more. In Lisbon's city center, our AMGEN office fosters innovation, excellence, and inspiration. Come thrive with us at AMGEN, supporting our mission To Serve Patients. What we do at AMGEN matters in people’s lives.
SNR MACHINE LEARNING ENGINEER
LIVE
WHAT YOU WILL DO
You will be responsible for designing, building, and maintaining systems of AI/ML data and model lifecycle management that support various classes of models, including protein Language Models, LLMs, classical ML models, and computer vision models. YOU’LL BE working cross-functionally to build data and model management systems on multiple cloud providers and in-house HPC services to ensure AI/ML model operations are efficient, reproducible, and reliable.
The responsibilities of the role will 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 and evaluation, and deployment pipelines
- Take ownership of MLOps platform development from inception to deployment and maintenance, and manage scope, timelines, dependencies and risks
- Collaborate with cross-functional teams to understand system requirements and design and implement solutions that meet or exceed business needs
- Leverage cloud platforms (AWS preferred) to build scalable and efficient MLOps solutions
- Collaborate and communicate effectively with product teams
- Adhere to best practices for coding, testing, and designing reusable code components
- Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices using the MLOps platform
WIN
WHAT WE EXPECT OF YOU:
Our ideal candidate
- Bachelor’s degree in relevant subject
- Demonstrated experience with deployment and maintenance of AI/ML models in production
- Hands-on experience with cloud technologies and platforms, such as Databricks, AWS (preferred), and Azure
- Hands-on experience with AI and MLOps frameworks and tools (mlflow, kubeflow, weights & biases, terraform, etc.)
- Experience with containerization (docker, Kubernetes),
- Excellent problem-solving skills and the ability to work with large, complex datasets
- Strong communication and collaboration skills
- Demonstrated awareness of how to function in a team setting
- Demonstrated presentation skills
- Fluent English – written and spoken
THRIVE
WHAT YOU CAN EXPECT OF US
• Vast opportunities to learn, develop, and move up and across our global organization.
• Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act.
• Generous Amgen Total Rewards Plan comprising healthcare, finance, wealth and career benefits.
• Flexible work arrangements.
APPLY NOW FOR A CAREER THAT DEFIES IMAGINATION
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
CAREERS.AMGEN.COM
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
