23 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 proof-of-concept development and innovative AI use cases.
- Apply MLOps and DevOps practices to deliver scalable and reliable AI solutions.
- Share knowledge and contribute to adoption of new AI technologies across the organization.
- Work in Agile teams using Scrum and/or Kanban methodologies.
Requirements
- Experience in machine learning and AI solution development.
- Knowledge of the machine learning lifecycle from data preparation through 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.
- Ability to collaborate in multidisciplinary teams.
- Experience working in Agile teams using Scrum and/or Kanban.
Benefits
- Flexible work environment with the ability to manage working hours and work remotely or from the office under the hybrid work policy.
- Career Acceleration Programs supporting growth, reskilling, and new skill development.
- Empowering environment with autonomy and peer collaboration.
- Health and life insurance.
- Referral program with bonuses and additional partnership-based fringe 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.