Machine learning software engineer állások Németországban egyetemi végzettséggel

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

As a Senior Program Manager in the Data & Analytics Unit, you will identify, launch & steer innovative projects in the field of data foundations and data insights (including ML). In this role, you will be responsible for the planning and successful execution of multiple data-driven business...

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....

• 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.

• Orchestration, deployment and administration of the open source software services developed at OSL.
• Design, development and implementation of data workflows within the above-mentioned software tools.
• Design, development and maintenance of software extensions within the above-mentioned software tools.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

Conduct field measurement campaigns using Rosenxt measurement technologies....

• Develop and maintain front-end interfaces with React (or Vue) for intuitive user experiences.
• Implement robust backend services and APIs using Node.js, TypeScript, and Python.
• Design, implement, and optimize database schemas across relational and non-relational systems.

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)

• Develop hardware-related software using CODESYS V3 and Siemens Step7
• Integrate modules into system architecture and contribute to platform development in C++
• Design and implement software following best practices (e.g., SOLID)
• Perform automated and manual testing to ensure quality

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact