Senior AI Engineer

Amgen Inc. (IR); Portugal; Presencial; EUR 51 000 - 69 000; Tempo integral

Resumo da oferta

Amgen Capability Center Portugal in Lisbon seeks an experienced AI/ML Engineer to design and operate end-to-end ML pipelines from data ingestion to deployment, using Kubeflow, SageMaker Pipelines, or OpenAI SDK. You will containerize models with Docker/Kubernetes, expose secure REST or gRPC APIs, and collaborate with cross-functional teams to ensure low latency, observability, and governance.

The role emphasizes production readiness, cost optimization, and collaboration with Security and

Qualificações

• 3–5 years in AI/ML and enterprise software.
• Expert knowledge of GenAI tooling and SaaS/PaaS offerings.
• Proficiency in Python and Java; containerization; cloud and DevOps/MLOps.

Responsabilidades

• Engineer end-to-end ML pipelines with Kubeflow, SageMaker or OpenAI SDK.
• Harden research code into production-grade micro-services and expose secure APIs.
• Build full-stack AI applications with lightweight UI components and workflow layers.
• Optimize performance and cost; tune GPU/CPU auto-scaling to meet SLA targets.
• Instrument observability, drift detection and bias monitoring with Security teams.
• Contribute reusable platform components and evangelize best practices across squads.
• Collaborate with data scientists to prototype and benchmark new algorithms.

Conhecimentos

AI/ML

Python

Docker/K8s

Cloud

GenAI tools

MLOps

Stakeholder mgmt

Formação académica

Master’s degree in CS or Data Science

Ferramentas

Docker

Kubernetes

SageMaker

LangChain

Semantic Kernel

GitHub Actions

Descrição da oferta de emprego

Career Category Information Systems Job Description Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture. We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology. This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more. Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients. What we do at AMGEN matters in people's lives.

Roles & Responsibilities:

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications. Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. Optimize performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets. Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications. Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads. Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.

Must-Have Skills:

3-5 years in AI/ML and enterprise software. Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.

Good-to-Have Skills:

Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master’s degree in computer science and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Soft Skills:

Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills.

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, disability status, or any other basis protected by applicable law. 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.

Salary Range 51 065,45 EUR - 69 088,55 EUR

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen