PyTorch Jobs in Germany

In this role, you will develop AI solutions as SaaS products, program machine learning models, integrate them into existing systems, and continuously improve them through feedback analysis and optimizations.

In this role, you will develop innovative AI solutions for vehicle validation, design and optimize data pipelines, and analyze complex datasets to support machine learning models.

In this role, you will develop ML models, build scalable data pipelines, and optimize our Data Lake while advancing MLOps strategies for integration into CI/CD systems and mentoring team members.

In this role, you will develop advanced ML models, build scalable ETL pipelines for sensor data, and optimize the data warehouse to ensure data quality and security.

In this role, you develop software for industrial image processing in C++, conduct testing, and implement solutions at customer sites while working with modern technologies such as machine learning.

In this role, you will develop AI and ML solutions to optimize data integrations, implement scalable microservices, create APIs, and automate data pipelines for real-time processing in the supply chain.

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 will develop tailored (Gen)AI solutions, transition between conception and implementation, identify relevant use cases, and integrate AI services into existing systems.

In this position, you will develop innovative Machine Learning models for drone early warning systems, implement scalable sensor fusion, and ensure low-latency intelligence directly on embedded systems.

In this role, you will develop innovative algorithms for large language models and optimize them for photonic computations while collaborating closely with hardware teams and performing simulations.

In this role, you develop ML models for predicting churn and financial KPIs, operationalize them on Microsoft Fabric, and support business users with interactive data queries.

In this role, you define the AI strategy, implement innovative solutions, optimize data pipelines, work with modern frameworks, and ensure quality and efficiency in projects for prestigious clients.

In this role, you build the infrastructure for distributed training, deployment, and experimentation, utilizing technologies like Kubernetes and PyTorch to efficiently transition ML models into production.

In this Master's thesis, you will focus on enhancing an automated race video analysis system by applying state-of-the-art computer vision methods for object and video analysis.

In this role, you will develop GPU support for Triton, optimize deep-learning primitives, conduct testing, document projects, and communicate with developers to implement performance improvements for neural networks.