Python developer állások, munkák Németországban

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

Short-Term Trading & Execution: You actively support and continuously improve the execution of our day-ahead and intraday trading activities, identifying opportunities to improve execution quality and portfolio performance....

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• You develop advanced algorithms for the analysis, control, protection, and optimization of industrial grids and microgrids
• You validate concepts through simulation, software prototypes, and demonstrators

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• You develop the production plan required to meet the service level of our customers.
• You contribute to process improvement and optimization projects.
• Maintain the replenishment strategy at the defined stock level through statistical analysis.

• Together with the team, you drive the development and evolution of vision systems
• You understand, evaluate, and challenge model architectures, neural networks, inference pipelines, and diagnostic toolchains, gradually taking over dedicated development and optimization work packages

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following the internship

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Further development of ESO's Requirements Management Tool.
• Support the Configuration & Asset Management for the ELT.
• Automation of hardware configuration and documentation management by using AI/ML.
• Support the Verification Management for the ELT.

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Development of FPGA/SoC-based digital designs for the control and readout of complex, robust laser systems
• Ownership of the full FPGA/SoC development lifecycle: from requirements definition and system architecture through RTL implementation, simulation and prototyping to a qualified product

• Designing and implementing novel human-computer interaction concepts
• Developing prototypes using modern hardware, sensors, and software tools
• Exploring eye-tracking-based interaction techniques and user interfaces
• Conducting user studies and evaluating interaction concepts

The customer's decision problem. Sit with the people who plan today, understand capacities, costs, lead times and the constraints nobody wrote down, and turn it into a model whose answer a plant manager acts on. Inventory, scheduling, supply shortages, order prioritization: the decisions that...