Automate logistics not just pixels
Do you want your models to power camerabased 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 visiondriven logistics.
Tasks
- Design train & finetune deeplearning models (detection segmentation tracking pose estimation) for demanding industrial environments targeting embedded devices.
- Design & implement features in our AI platform while tackling projectspecific 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 cocreate solutions.
- Scout the computervision landscape: evaluate new OSS models & commercial APIs and integrate the best into our stack.
- Discuss technical topics with customers when deep dives are needed.
Requirements
- 2 years of professional experience in applied computer vision / deep learning.
- Expert knowledge of PyTorch or TensorFlow; confident in Python and modern C.
- Solid MLengineering skills: reproducible experiments MLOps model monitoring.
- Strong softwareengineering mindset: Git code reviews design patterns clean code.
- Experience guiding or coaching junior developers.
- Excellent communication skills in English (German a plus).
Benefits
- Modern office near Olympiapark (U3Oberwiesenfeld) with roof terrace free drinks & fruit.
- International helpful team with flat hierarchies and quick decisions.
- Projects that matter for wellknown global customers in industry & midmarket.
- Plenty of room for personal & professional growth.
Ready to shape the future of logistics