6 Artificial Intelligence And Machine Learning jobs in Stuttgart.

Hiring now: Fullstack And Ux Dev @ Bosch, Intern @ Boschgroup.Explore more at jobswithgpt.com.

🔥 Skills

Generative AI (2) generative AI (2) large language models (2) uncertainty quantification (2) synthetic data (2) Digital Innovation (1) IoT (1) Digital Supply Chain (1) FullStack (1) UX (1)

📍 Locations

Stuttgart (6)
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Bosch

FullStack and UX Developer Stuttgart
Skills & Focus: Digital Innovation, IoT, Digital Supply Chain, FullStack, UX, Data Intelligence, Python, Java, Javascript, Generative AI
About the Company: Various teams in the Bosch Connectory are working on exciting and future-oriented topics such as Digital Innovation, IoT, and Digital Supply Chain.
Experience: Experience with Python, Java, and Javascript/Typescript; knowledge of Generative AI
Type: Full-time
Intern - Generative AI in Test Management Stuttgart
Skills & Focus: generative AI, text generators, test management, large language models, IT infrastructure, creative freedom, user stories, acceptance criteria, test case generation, innovative solutions
Type: Internship

Boschgroup

Intern Stuttgart
Skills & Focus: generative model, large language models, sequence-to-sequence architectures, requirements generation, IREB-compliant, graph neural networks, system architectures, performance, security, cost
Type: Internship

Bosch

Intern Generative AI for Test Management Stuttgart
Skills & Focus: Generative AI, Text Generators, Test Management, Large Language Models, IT Infrastructure, User Stories, Acceptance Criteria, Feasibility Assessment, Test Case Generation, Project Management
Type: Internship

Boschgroup

Master Thesis Research Assistant Stuttgart
Skills & Focus: autonomous driving, power supply system, safety requirements, battery diagnostics, data augmentation, diffusion models, uncertainty quantification, synthetic data, PyTorch, GANs
Master Thesis in Uncertainty Quantification and Generative AI Models Stuttgart
Skills & Focus: uncertainty quantification, generative AI, probabilistic models, battery diagnostic, synthetic data, epistemic uncertainty, aleatory uncertainty, prediction interval calibration, failure probability, data analysis