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Computer vision is one of those fields where the gap between a paper and a working product is enormous. We find engineers who've shipped real vision systems and dealt with the lighting changes, edge cases, and hardware constraints that benchmarks don't prepare you for.
What We Deliver
We place computer vision engineers who build detection, segmentation, and tracking systems that work reliably in messy real-world conditions -- factory floors, clinical settings, edge devices with limited compute.
Engineers with production experience in YOLO, DETR, and custom architectures -- not just beating a benchmark, but handling real-world variability in lighting, angles, and occlusion.
Talent who build pixel-level segmentation for medical imaging, satellite analysis, and industrial inspection where precision directly affects outcomes.
Engineers who implement multi-object tracking, action recognition, and anomaly detection on live video feeds with real latency and throughput constraints.
Specialists in document processing -- layout analysis, field extraction, and classification for clients digitizing paper-heavy workflows at scale.
Technology Stack
Success Stories
A CV engineer we placed built an automated defect detection system for a manufacturer, catching issues on the production line that manual inspection was consistently missing.
Talent we placed developed a diagnostic imaging tool that assists radiologists with scan analysis, now used daily in a clinical setting.
An engineer we placed built a shelf monitoring and customer flow system for a retail chain looking to optimize store layouts based on actual shopper behavior.
Get matched with pre-vetted computer vision professionals in as little as 48 hours.
Discover more ways Opanin can help you build your ideal data team.
ML engineers who ship models to production, not just notebooks
GenAI engineers who build products, not prototypes
MLOps engineers who keep your models running after launch day