At Capgemini Invent, we drive change through inventive transformation consulting, blending strategic, creative, and scientific capabilities to deliver cutting-edge solutions. Join us to tailor transformations to our clients' challenges, validated by science and data, powered by creativity and design, and underpinned by purposeful technology.
Your Role
We are looking to incorporate a professional with a strong technical background, hands‑on experience in the development and deployment of Artificial Intelligence models, and a business‑oriented mindset: someone able to understand real‑world problems, propose effective solutions, and support their implementation from end to end.
Key responsibilities:
- Design, develop, and operationalize IA/ML and GenAI use cases end‑to‑end.
- Build and orchestrate data and model pipelines, from prototyping to production environments.
- Participate in the design of AI architectures together with data engineering, cloud, and business teams.
- Work closely with business stakeholders: understand needs, take part in workshops, translate functional requirements into technical solutions, and communicate results clearly.
- Contribute to documentation, best practices, and internal assets (frameworks, templates, utilities, etc.).
- Participate in ideation and use‑case prioritization activities, supporting data‑driven decision‑making.
Your Profile
- Degree in Engineering, Mathematics, Physics, Computer Science, or a related field, or equivalent practical experience.
- 3–5 years of experience in AI, Machine Learning, or GenAI projects.
- Hands‑on experience with at least one major cloud provider: AWS, Google Cloud Platform, or Azure.
- Knowledge of cloud services focused on AI/ML (such as training platforms, model deployment, storage, and orchestration services).
- Strong proficiency in Python and AI/ML libraries (scikit‑learn, TensorFlow, PyTorch, HuggingFace, LangChain, or similar).
- Experience working with language model / GenAI APIs (in‑house or third‑party) and developing POCs or end‑to‑end solutions.
- Ability to interact with business stakeholders: understanding needs, asking the right questions, challenging requirements, and explaining technical alternatives.
- Strong communication skills in Spanish and a B2 level of English or higher.
- Experience in consulting environments or projects with high business interaction.
Nice to have
Experience with more than one cloud provider (AWS + GCP + Azure).
Knowledge of MLOps practices (CI/CD for models, monitoring, model registry, etc.).
Participation in technical communities, publications, or personal projects (GitHub, Kaggle, etc.)
What You'll Love About Working Here
- Be part of a growing team specialized in Data & AI, working with top‑tier clients.
- Participate in projects where AI is truly implemented: from ideation to production.
- Continuous learning plan (cloud certifications, AI/GenAI courses, soft skills training).
- Hybrid working model.
- A collaborative, approachable environment with autonomy to propose ideas, assets, and new ways of working.
Location: Madrid or Barcelona (Hybrid model)
Are you ready to take the next step with us?
Key Skills
Ranked by relevance
Related Jobs
3 roles aligned with this opportunity
Artificial Intelligence Engineer
2026-05-27
Data and Analytics Consultant
2026-05-20
Data and Analytics Consultant
2026-05-20
- Posted
- Jan 20, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Madrid
- Company
- Capgemini Invent
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
Artificial Intelligence Engineer
2026-05-27
Data and Analytics Consultant
2026-05-20
Data and Analytics Consultant
2026-05-20