Career Category

Information Systems

Job Description

Join our team at Amgen Capability Center Portugal, the #1 company in Best Workplaces™ (201–500 employees category) by the Great Place to Work Institute. With over 400 talented individuals from more than 40 nationalities, our Lisbon center thrives at the intersection of innovation, excellence, and inspiration. This is your opportunity to explore the future of healthcare through technology and digital innovation, supporting our mission To Serve Patients.  

Machine Learning Engineer

The Associate Machine Learning Engineer position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization. You’ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen’s Applied AI & Automation Footprint.

The role is responsible for building and scaling our AI and machines learning solutions from development to production. Your expertise in MLOps will be essential in creating efficient and reliable ML pipelines. The role represents working in the solution engineering and DevOps teams to lead the transition from Intelligent automation to Agentic Process Automation and ensures that strategy and implementation remain connected throughout the value stream. The ideal candidate has experience in building AI & ML solutions, has excellent communication skills, and an understanding of Agile methodologies.

Let’s do this. Let’s change the world. In this vital role you will: 

• Collaborate with data scientists to develop, train, and evaluate machine learning models.
• Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
• Leverage cloud platforms (AWS, Databricks) for ML model development, training, and deployment.
• Develop solutions using DevSecOps framework that are secure, scalable, reliable, and aligned with enterprise architecture standards.
• Evaluate model performance using appropriate metrics and optimize models for accuracy and efficiency
• Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
• Identify and resolve technical challenges effectively
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
• Analyze customer feedback and support data to identify pain points and opportunities for improvement
• Evaluate and recommend technologies and tools that best fit the solution requirements

Must-Have Skills:

• Strong foundations in machine learning algorithms and techniques
• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in model monitoring, including model observability and explainability
• Proficiency in Python (or R) and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing

Good-to-Have Skills:

• Good understanding of cloud platforms (e.g., AWS, Databricks) and containerization technologies (e.g., Docker, Kubernetes)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
• Experience with data processing tools like Hadoop, Spark, or similar
• Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
• Ability to analyze client requirements and translate them into solutions

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of presentation skills

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with 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 accommodation.

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