Senior computer vision development talent and rates in Government & Public Sector
Senior computer vision development engineers serving government & public sector run roughly $150–$220/hr. Stack realities for this combination: Login.gov + Salesforce Gov Cloud + AWS GovCloud + Granicus — common integrations: Login.gov + ID.me identity, Salesforce Government Cloud Plus, AWS GovCloud + Azure Government. Document processing; multilingual chatbots; case-routing
What computer vision development actually requires in 2026
2026 CV stack: PyTorch + Ultralytics YOLOv8/v11 for detection, Segment Anything Model (SAM) for segmentation, OpenCV for traditional pipelines, ONNX Runtime for cross-platform deploy, TensorRT for NVIDIA edge, Core ML for iOS, ML Kit for Android. Data: Roboflow, Labelbox, V7. CV engineers need PyTorch fluency, dataset curation skills, and deployment-target awareness (edge CPU vs cloud GPU vs phone NPU). Generic ML engineers without CV depth typically over-engineer training pipelines and under-deliver on real-world robustness (occlusion, lighting, scale).