AI Engineer (Data Science / Data Engineering)
Capgemini Engineering is hiring an AI Engineer in Vila Nova de Gaia, Portugal (hybrid) to design, build, and deploy scalable data and AI solutions — including data pipelines, production ML models, and cloud-native architectures (preferably GCP) — largely for initiatives in the telecommunications sector.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field
- Professional experience in Data Science / Machine Learning Engineering / Data Engineering / Big Data Engineering
- Solid experience with SQL and data modelling concepts
- Experience building data pipelines and data processing workflows
- Strong programming skills in Python
- Understanding of Machine Learning fundamentals and AI solution lifecycle
- Knowledge of cloud platforms
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to work in cross-functional teams
- Fluency in English
Nice to have
- Experience with Google Cloud Platform (GCP)
- Experience in the Telecommunications sector
Full description
CAPGEMINI ENGINEERING
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
YOUR ROLE
We are looking for an experienced AI Engineer to join our growing AI Engineering team. This role is ideal for professionals with a background in Data Science, Machine Learning Engineering or Data Engineering, who are passionate about building and scaling AI-driven solutions in cloud environments.
You will work on the design, development, and deployment of advanced data and AI solutions, collaborating with multidisciplinary teams to transform business requirements into scalable and production-ready systems. Experience within the Telecommunications sector is highly valued, as many of our initiatives focus on large-scale data processing, customer analytics, network intelligence, and AI-powered automation.
Responsibilities
- Design, develop, and maintain scalable data and AI solutions.
- Build and optimize data pipelines supporting advanced analytics and machine learning use cases.
- Develop, train, deploy, and monitor machine learning models in production environments.
- Collaborate with data scientists, engineers, architects, and business stakeholders to deliver end-to-end solutions.
- Implement cloud-native AI and data architectures, preferably on Google Cloud Platform (GCP).
- Ensure data quality, governance, security, and performance across data platforms.
- Automate data processing, model deployment, and monitoring through CI/CD and MLOps practices.
- Contribute to the continuous improvement of AI, analytics, and data engineering best practices.
YOUR PROFILE
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Professional experience in either: Data Science / Machine Learning Engineering / Data Engineering / Big Data Engineering.
- Solid experience with SQL and data modelling concepts.
- Experience building data pipelines and data processing workflows.
- Strong programming skills in Python.
- Understanding of Machine Learning fundamentals and AI solution lifecycle.