About this role
AI Engineer & Data Science (Google Cloud / Vertex AI)
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE
We are looking for an AI Engineer & Data Scientist (Google Cloud focus) to strengthen Capgemini Portugal’s Data & AI consulting team. You will design and deliver end-to-end AI solutions (predictive/prescriptive ML and GenAI), support project execution, and contribute to commercial initiatives by shaping solutions that are scalable, secure, and production-ready on Google Cloud.
In this role you will be responsible for:
- Design and implement predictive and prescriptive AI solutions (problem framing, feature engineering, modeling, evaluation, and deployment), aligned with business outcomes.
- Build and industrialize GenAI solutions (e.g., RAG patterns, evaluation, prompt/version management, safety controls), integrating with client systems and data sources.
- Implement MLOps practices on Vertex AI (pipelines, experiments/metadata tracking, model monitoring, retraining automation and governance).
- Work closely with Data Engineers/Architects to leverage modern data platforms and robust data pipelines for AI workloads.
- Ensure Responsible AI principles (privacy, security, transparency, bias awareness, auditability) are embedded by design.
- Support pre-sales: contribute to technical solutioning, estimates, proposals, and client workshops/demos in a consulting context.
- Collaborate with internal communities to share best practices and contribute to reusable assets/accelerators.
YOUR PROFILE
- Minimum of 2+ years of experience in AI/ML delivery (consulting/project environments are a plus).
- Solid hands-on background in predictive & prescriptive ML and ML lifecycle practices.
- Experience building/operationalizing GenAI solutions and understanding of LLMOps concepts (evaluation, monitoring, governance).
- Practical experience with Google Cloud / Vertex AI (pipelines, training/deploy, monitoring) and strong Python/SQL skills.
- Strong communication skills with the ability to explain technical topics to non-technical stakeholders.
- Ownership mindset, structured problem solving, ability to work in ambiguous environments.
- Fluency in Portuguese and English.
- Nice-to-have: GCP certifications; experience with vector DBs/search for RAG; experience delivering client workshops and proposals in consulting.
WHAT YOU'LL LOVE ABOUT CAPGEMINI
- At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the