2 days ago
Stuttgart, GermanySenior
Responsibilities
- Develop, implement, and maintain data science, machine learning, and AI solutions for innovative measurement systems.
- Analyze large datasets and image data to identify insights and optimization opportunities.
- Collaborate with an interdisciplinary algorithms team to develop new data-analysis methods.
- Drive digitization and AI initiatives from exploratory analysis through production-ready applications.
- Coordinate projects and support specialist departments in implementing ML opportunities in EUV metrology.
Requirements
- Completed degree in physics, mathematics, computer science, data science, artificial intelligence, engineering, or a comparable field.
- Relevant professional experience in data science projects, including algorithm development, statistical analysis, and model deployment.
- Strong knowledge of data analytics, machine learning, and statistical and algorithmic methods.
- Very good Python skills and experience with software development, object-oriented design principles, Git, and Azure DevOps.
- Fluent written and spoken German and English.
Benefits
- Access to professional development programs, specialist training, mentoring, and innovative projects.
- Flexible work location depending on project assignment and team agreement, with flexible working hours and work at various locations.
- Diverse and open team environment focused on mutual support and exchange.
- Employment is arranged through temporary agency employment (AÜG) for a customer project.
Categories
Data ScienceML Engineering
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.