Machine learning software engineer állás, munka

• Deliver creative customer facing features to bring German users on chain.
• Articulate a long term vision for maintaining and scaling our backend systems.

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

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

Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning)....

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.

• 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.

• 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