AI Engineer: Cloud-Native ML & Data Pipelines (Hybrid)

Capgemini; Évora; Híbrido; EUR 36 000 - 54 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Hybrid work

Training and certifications

Referral program with bonuses

Great office locations

Resumo da oferta

Capgemini Engineering in Portugal is seeking an experienced AI Engineer to join our growing AI Engineering team. You will design, develop, and deploy scalable data and AI solutions in cloud environments, collaborating with data scientists, engineers, and business stakeholders.

This role emphasizes ML, data engineering, and GCP-driven architectures, with a hybrid work model and strong opportunities for career growth within a global engineering leader.

Qualificações

• Bachelor's or Master's degree in CS, DS, Eng or related field.
• Experience in Data Science / ML / Data Engineering.
• Strong Python and SQL skills.
• Cloud platform knowledge, preferably GCP.
• Excellent communication and teamwork; fluent English.

Responsabilidades

• Design, develop, and maintain scalable data and AI solutions.
• Build and optimize data pipelines for analytics and ML use cases.
• Develop, train, deploy, and monitor ML models in production.
• Collaborate with data scientists, engineers, architects, and stakeholders.
• Implement cloud-native AI and data architectures, CI/CD and MLOps.

Conhecimentos

Python

SQL

Machine Learning

Data Engineering

GCP

Formação académica

Bachelor's or Master's in Computer Science, Data Science, Engineering

Ferramentas

Git

CI/CD

Docker

Kubernetes

Descrição da oferta de emprego

Capgemini Engineering in Portugal is seeking an experienced AI Engineer to join our growing AI Engineering team. You will design, develop, and deploy scalable data and AI solutions in cloud environments, collaborating with data scientists, engineers, and business stakeholders.

This role emphasizes ML, data engineering, and GCP-driven architectures, with a hybrid work model and strong opportunities for career growth within a global engineering leader.