3 days ago
Vila Nova de Gaia, PortugalMid Level
Responsibilities
- Design, develop, and deploy AI and machine learning solutions from experimentation through production.
- Build, train, and optimize machine learning models with business impact.
- Collaborate with Data Scientists and Data Engineers to define and implement AI solutions.
- Support proofs of concept and innovative AI use cases.
- Apply MLOps and DevOps practices to ensure scalable and reliable AI solutions.
- Share knowledge and contribute to adopting new AI technologies across the organization.
Requirements
- Experience in machine learning and AI solution development.
- Knowledge of the machine learning lifecycle, including data preparation and model deployment.
- Experience with Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with MLOps and DevOps principles.
- Familiarity with Azure ML, Snowflake, and DBT.
- Strong problem-solving and analytical skills and the ability to work collaboratively in multidisciplinary teams.
- Experience working in Agile teams using Scrum and/or Kanban.
Benefits
- Flexible hybrid work policy allowing employees to manage working hours and work from the office or remotely.
- Career Acceleration Programs supporting growth, reskilling, and new skill development.
- Empowering work environment with autonomy and peer relationships.
- Health and life insurance, referral program bonuses, and other partnership-related benefits.
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.