We are building a visual recognition solution for automotive parts that enables the identification of parts using mobile phone images. This is a complex, real-world problem involving large-scale catalogs, visually similar items, and non-ideal input conditions (dirty, worn, or partially visible parts). We are looking for a Senior AI / Computer Vision Engineer who will take ownership of the AI component of the solution

from model design and experimentation to production-ready implementation and continuous improvement. This role is highly R&D-driven, requiring strong technical expertise combined with a pragmatic mindset and the ability to adapt approaches as new challenges arise. What Success Looks Like Delivers a working visual recognition approach for selected part categories Continuously improves model accuracy using real-world data Effectively handles edge cases and visually similar parts Adapts strategy when initial assumptions do not hold Contributes to building a scalable and maintainable AI pipeline Why This Role Is Interesting Work on a high-impact, real-world problem with direct business value Solve challenges at the intersection of AI, data, and operations Be part of building a system from early-stage validation to a scalable solution High level of ownership and influence on technical direction Requirements: 5+ years of experience in Computer Vision / Machine Learning Strong hands-on experience with PyTorch, TensorFlow, or similar frameworks Experience with image-based deep learning models (CNNs, transformers, embeddings) Experience with model training pipelines and evaluation methodologies Solid understanding of data quality, dataset design, and augmentation techniques Experience working with large datasets or fine-grained classification problems Strong programming skills in Pytho