AIEngineer

Your mission You'll design, develop, and deploy AI and machine learning solutions that push the boundaries of what's possible in footwear manufacturing. As our AI Engineer, you'll be a key contributor to Zellerfeld's technological advancement — building the models and pipelines that improve our products, enhance maintenance, and solve complex problems no one has tackled before. From data acquisition to model deployment, you'll own the full ML lifecycle and help shape the intelligent systems behind the factory of tomorrow. What you'll do Build and maintain ETL pipelines that turn raw scan, telemetry, and production data into something models can actually learn from Design, build, and maintain ML models and pipelines that solve real production and product problems Own the full lifecycle: data acquisition, feature engineering, training, deployment, monitoring, and iteration Integrate models into our software and production systems — they have to work in the real world, not just in notebooks Run experiments, evaluate honestly, and know when a model is good enough vs. when it isn't Collaborate with software engineers, hardware engineers, and product teams to translate ambiguous problems into ML solutions (and to recognize when ML isn't the right tool) Stay current with the field without chasing every new paper Your profile Proven experience as an ML/AI Engineer, with models you've actually shipped to production Strong Python and fluency with the standard data/ML stack (NumPy, Pandas, scikit-learn) Solid ETL experience — designing and maintaining pipelines that handle real-world messy data at scale Hands-on deep learning experience with PyTorch and/or TensorFlow Solid grounding in ML fundamentals — you can explain why a model is failing, not just retrain it with different hyperparameters Software engineering discipline: clean code, version control, testing, and the ability to operate models you've built Cloud experience (AWS or GCP) Nice to have: Computer Vision experienc