Junior PyTorch Job in Munich

In this role, you collaborate closely with the Data & AI team to develop software components for autonomous driving, including data pipeline enhancements and field testing.

In this role, you will develop innovative AI and ML solutions, train and optimize models using PyTorch and TensorFlow, and handle data analysis and model validation within a dynamic development team.

In this role, you will support the implementation of multi-agent systems and A2A communication by designing and developing intelligent AI components, deriving technical solutions from use cases, and building proof of concepts.

In this role, you implement NLP models for technical document analysis and develop machine learning models for industrial sensor data, including preprocessing and model evaluation.

In this position, you will develop probabilistic deep learning models and optimize their uncertainty assessment for safety-critical applications in aerospace. Your focus will be on Bayesian inference and robust evaluation methods.

In this role, you will develop modern AI solutions, work on prototypes, optimize models, and support the implementation of GenAI and NLP technologies in demanding projects.

In this role, you implement advanced generative models, develop machine learning models using PyTorch, and work on computer vision projects and CFD methods. You support an interdisciplinary team and receive regular feedback.

In this role, you will implement and train Machine Learning models to predict departure times and energy needs of electric vehicles, while analyzing the impact on charging strategies.

In this role, you analyze the current IT environment, develop migration plans, support technical processes, and accompany use cases for legacy applications and AI documentation.

In this role, you analyze large datasets, develop AI models for process optimization, and visualize results to support internal decision-making while researching current trends in Data Science and AI.

In this role, you develop AI models for predicting microbial behavior, support model deployment, and design intelligent automation strategies for scientific workflows.

In this role, you will develop AI algorithms, integrate them into software architectures, optimize machine learning processes, and document development progress while collaborating closely with interdisciplinary teams.

In this role, you will develop ML models for cyber threat detection and optimize data pipelines. You will design APIs for cybersecurity tools and present technical solutions to non-technical stakeholders.

You assist in Data Engineering tasks such as designing, creating, and interpreting data evaluations, business reports, and dashboards. From professional use cases, you derive technical solutions. Additionally, you contribute to machine learning tasks,...