Automate logistics – not just pixels

Do you want your models to power camera-based automation systems that dramatically reduce errors on the warehouse floor instead of living only in Jupyter notebooks? Logivations is looking for an experienced Computer Vision & AI Engineer to scale our AI infrastructure and push the boundaries of vision-driven logistics.

• Design, train & fine-tune deep-learning models (detection, segmentation, tracking, pose estimation) for demanding industrial environments targeting embedded devices.
• Design & implement features in our AI platform while tackling project-specific edge cases.
• Act as technical lead & code role model: drive clean architecture, code reviews, CI/CD, testing best practices.
• Mentor and upskill our junior engineers: share knowledge, review pull requests, host workshops.
• Collaborate with consultants & project managers: estimate efforts, communicate risks, co-create solutions.
• Scout the computer-vision landscape: evaluate new OSS models & commercial APIs and integrate the best into our stack.
• Discuss technical topics with customers when deep dives are needed.

• 2 +  years of professional experience in applied computer vision / deep learning.
• Expert knowledge of PyTorch or TensorFlow; confident in Python and modern C++.
• Solid ML-engineering skills: reproducible experiments, MLOps, model monitoring.
• Strong software-engineering mindset: Git, code reviews, design patterns, clean code.
• Experience guiding or coaching junior developers.
• Excellent communication skills in English and German.

• Modern office near Olympiapark (U3 – Oberwiesenfeld) with roof terrace, free drinks & fruit.
• International, helpful team with flat hierarchies and quick decisions.
• Projects that matter – for well-known global customers in industry & mid-market.
• Plenty of room for personal & professional growth.

Ready to shape the future of logistics?