Machine learning Engineer Lisboa

Machine learning Engineer
Lisboa
Lisboa, Lisboa, Portugal

Our client is a
- thinking organization that leverages modern AI algorithms to drive continuous improvement across their products and business operations. Their AI department — consisting of product, platform, and research teams — sits at the core of this mission. From detecting fraudulent activity to delivering personalized recommendations, AI-powered
- pilots, and CRM optimizations, their work transforms intelligent applications into impactful business solutions.

What You'll Do

1. Collaborate with data scientists to deliver
   - ready model training pipelines.
2. Design scalable solutions for both training and inference in distributed environments.
3. Build and maintain model diagnostics, evaluation, and monitoring flows.
4. Automate model deployment workflows and enable REST API endpoints for model serving.
5. Optimize cluster resources and performance for AI workloads.
6. Create and maintain internal tools, frameworks, and libraries to support AI operations.
7. Write and manage CI/CD/CT pipelines for continuous integration, delivery, and testing.

What You’ll Bring

1. Extensive experience in software development using Python in
   - scale,
   - performance production environments.
2. Strong
   - on experience in designing ML software systems.
3. Significant experience working in cloud environments such as Microsoft Azure or AWS.
4. Proficiency with Spark and Py
   Spark for distributed data processing.
5. Excellent
   - solving skills and clear communication abilities.
6. Solid understanding of:

• Software system design principles
• The Machine Learning project lifecycle
• MLOps tools and concepts such as MLflow or Kubeflow
• Machine Learning algorithms and models

Job Details

Área: Data and BI

Local: Lisboa

Tipo de contrato: FULL_TIME

Especialização: Tecnologias de informação

Indústria: TI

Salário: Negotiable

Tipo de trabalho: Híbrido

Nível de experiência: Gerente

Referência da vaga: OXGEQY-B8EF3A58

Data postada: 15 de abril de 2025

Consultor: Cátia Carlos