Senior ML Engineer - Enterprise AI Platform Lead

Amgen; Portugal; Presencial; EUR 60 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Best Workplaces recognition

Lisbon office

Resumo da oferta

AMGEN Capability Center Portugal in Lisbon is hiring a Senior Machine Learning Engineer to design end-to-end ML platforms and scalable AI services. You will lead the development of core ML pipelines and secure APIs, collaborating with DevOps, Security and Product teams.

The role requires expertise in ML algorithms, GenAI tooling, and modern MLOps, with a hands-on approach to ship production-grade models and applications at enterprise scale.

Qualificações

• 3-5 years in AI/ML and enterprise software.
• Proven track record selecting and integrating AI SaaS/PaaS offerings.
• Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks.

Responsabilidades

• Engineer end-to-end ML pipelines using Kubeflow, SageMaker Pipelines, OpenAI SDK or equivalent MLOps stacks.
• Harden research code into production-grade micro-services and expose secure REST, gRPC or event-driven APIs.
• Build and maintain full-stack AI applications by integrating model services with lightweight UI components or workflow engines.
• Instrument observability with real-time metrics, distributed tracing, drift/bias detection and user-behavior analytics.
• Embed security and Responsible-AI controls in partnership with Security, Privacy and Compliance teams.

Conhecimentos

AI/ML expertise

Python

Java

MLOps

GenAI tooling

Formação académica

Master's degree in Computer Science

Ferramentas

Kubeflow

SageMaker Pipelines

OpenAI SDK

Docker

Kubernetes

LangChain

Semantic Kernel

Descrição da oferta de emprego

AMGEN Capability Center Portugal in Lisbon is hiring a Senior Machine Learning Engineer to design end-to-end ML platforms and scalable AI services. You will lead the development of core ML pipelines and secure APIs, collaborating with DevOps, Security and Product teams.

The role requires expertise in ML algorithms, GenAI tooling, and modern MLOps, with a hands-on approach to ship production-grade models and applications at enterprise scale.