Python developer állások Németországban egyetemi végzettséggel

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• You analyse historical data and derive precise forecasts from it.
• Also, you validate and optimise existing models and develop innovative approaches.
• You act as a methodological point of contact for colleagues in the markets and at headquarters.

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Development and process engineering design of electrochemical CO₂ conversion processes
• Transfer of laboratory results into robust scale-up concepts for pilot scale
• Preparation and further development of mass and energy balances
• Development, application, and interpretation of process simulations

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

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...

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

• Cloud Operations: Design, implement, monitor, maintain and optimize the SAP Sovereign Cloud system landscape for Germany.
• Setup of a multi-system landscape architecture and integration aspects between heterogeneous system technologies.

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

What You'll Do: We are seeking a skilled Cyber Detection Engineer to join our team and work on cutting-edge cloud and container security projects. This role offers the opportunity to develop and implement strategies to detect anomalous or malicious behavior in Public Cloud environments such as AWS,...

In this role, you will join the Sovereign Cloud Platform engineering team. We build, harden, and operate the SAP Sovereign Cloud environments used as reference by the regional Operations teams. You will be working closely with SAP product teams, technical product managers, developers, security...

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of...

• Set up and integrate complex robotics systems for mobile manipulation tasks
• Computer vision algorithms are often developed in close collaboration with Computer Vision and AI Engineers
• Hardware drivers for various types of new robots, actuators, and sensors
• New UI screens

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

as an expert in systems engineering, you can develop, analyze and optimize EUV sensors/camera systems for high-precision metrology systems...