Hybrid Full-Stack ML Engineer | AI in Production

AdvanceWorks; Lisboa; Híbrido; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

AdvanceWorks in Lisbon is hiring a Full Stack Machine Learning Engineer to develop and improve AI/ML services for a leading European bank. You will build scalable ML solutions end‑to‑end, collaborating with Data Scientists, Software Engineers, DevOps, Architecture, and Platform teams to deploy production‑grade inference services and reusable frameworks.

Requirements include 5+ years in software/ML engineering, Python, REST APIs, and cloud experience.

Qualificações

• 5+ years of professional experience in software or ML engineering.
• Strong Python experience and data science libraries.
• Experience with REST APIs and microservices.
• Experience with SQL and Spark data processing.
• Familiarity with cloud platforms (Azure, AWS, GCP) and ML pipelines.
• Fluent Portuguese and ability to work in Lisbon hybrid model.

Responsabilidades

• Collaborate with Data Scientists to bring machine learning models into production.
• Design robust, scalable APIs for serving ML models.
• Develop end-to-end ML pipelines from data collection to inference.
• Create reusable frameworks and solutions for cross-project use.
• Promote engineering best practices and CI/CD in ML projects.
• Collaborate with DevOps, Software Architecture, and Platform teams.
• Maintain clear technical documentation and monitor ML services.

Conhecimentos

Python

C# or Java

REST APIs

ML pipelines

SQL

Spark

Cloud platforms

Portuguese fluency

Ferramentas

Azure

Databricks

Cosmos DB

AKS

Azure DevOps

Descrição da oferta de emprego

AdvanceWorks in Lisbon is hiring a Full Stack Machine Learning Engineer to develop and improve AI/ML services for a leading European bank. You will build scalable ML solutions end‑to‑end, collaborating with Data Scientists, Software Engineers, DevOps, Architecture, and Platform teams to deploy production‑grade inference services and reusable frameworks.

Requirements include 5+ years in software/ML engineering, Python, REST APIs, and cloud experience.