PyTorch Jobs in Germany

In this role, you will develop machine learning models to optimize and accelerate multiphysics simulations in Digital Twin environments, collaborating closely with physicists and engineers.

In this role, you develop machine learning models to analyze large datasets, identify trends, optimize processes, and closely collaborate with various departments.

In this role, you will develop scientific Python software to tackle complex challenges in fusion research, closely collaborating with physics and engineering teams.

In this role, you will optimize algorithms for adaptive lithography systems, translate them into C++, develop software for mechatronic system control, and analyze the functionality of the complete optical system.

In this role, you will develop novel tensor network algorithms for machine learning, conduct experiments, and analyze their performance to address innovative research questions.

In this role, you will develop computer vision pipelines for 7-axis robots to manage dynamic environments by designing innovative algorithms for 3D object detection and autonomous control.

In this role, you develop scalable AI automation frameworks and translate complex business challenges into technical solutions, working closely with software engineering teams.

In this role, you design and develop automated AI agents with LangGraph for supplier analysis, build NLP pipelines, integrate with backend services, and manage MLOps workflows for enhanced efficiency.

In this role, you select models for speech and signal processing, optimize their inference, and implement powerful processing pipelines to market maturity using PyTorch, LibTorch, and NVIDIA Triton.

In this role, you will develop automated annotation pipelines for industrial image datasets to optimize AI models and explore techniques like active learning and data augmentation to improve model performance.

In this role, you will develop AI systems, design agent architectures, and integrate ML concepts into a SaaS application while also managing and optimizing their operations.

In this role, you will develop end-to-end Data Science and AI solutions, create custom AI models using LLMs, analyze large datasets, and implement MLOps practices to enhance business processes.

In this role, you will develop agentic AI systems for automatic product recognition and cataloging, utilizing Python and frameworks like PyTorch in a cloud-based environment.

In this role, you develop AI solutions to solve real business problems, design scalable AI frameworks, and operate at the intersection of AI engineering and business impact in a dynamic environment.

In this role, you develop AI-driven solutions, transform complex requirements into technical concepts, and oversee the entire lifecycle of scalable applications, including API development and deployment.