Computer Vision Engineers
Vetted Tier-1 computer vision engineers embedded into your team. Object detection, video analytics, medical imaging, OCR — sprint-delivered, Engagement Manager audited.
Two-week risk-free trial. No lock-in.
< 48h
Time to match
Top 1%
Engineer tier
100%
IP ownership
2 weeks
Risk-free trial
What They Build
Real-time detection using YOLO, Detectron2, or custom architectures. Deployed to cloud, edge, or mobile.
Multi-class classification models fine-tuned on your domain — products, defects, medical scans, satellite imagery.
Multi-object tracking, activity recognition, anomaly detection in live or recorded video streams.
Intelligent document processing — extract structured data from invoices, forms, IDs, and handwritten notes.
Diagnostic support systems for radiology, pathology, and dermatology — built to regulatory-aware standards.
Optimised models for Raspberry Pi, NVIDIA Jetson, and custom hardware. Low latency, low power.
Who It's For
You have a product idea that requires computer vision but no in-house CV expertise. Get a vetted engineer embedded in 48 hours — not 3 months of hiring.
Your team has a working product but needs a specialist to add vision capabilities — QC automation, security cameras, retail analytics.
You know what you need to build but can't hire a full-time CV engineer fast enough. One point of contact. Sprint-gated outcomes. No vendor chaos.
How It Works
Fill a 5-minute intake form describing your computer vision use case, data situation, and stack. A Delivery Lead contacts you within 24 hours.
We surface 2–3 hand-picked computer vision engineers with proven experience in your domain. You review profiles, join intro calls, and choose your fit.
Your engineer works in focused sprints. An Engagement Manager audits every milestone output. You get working, production-ready computer vision systems.
Tell us your use case. Matched in 48 hours. 2-week risk-free trial.
What's Included
Every computer vision engineer passes a rigorous 5-stage vetting — CV theory, coding, system design, model optimisation, and live delivery simulation.
A senior Kovil AI lead audits every milestone before it reaches you. Model accuracy, inference speed, edge cases — all checked.
Work happens in structured weekly sprints with clear deliverables. Not open-ended hours billed to a ticket queue.
Specialists across object detection (YOLO, Detectron2), image segmentation, pose estimation, OCR, video analytics, and medical imaging.
We don't just train models — we deploy them. ONNX, TensorRT, CoreML, edge inference, real-time pipeline optimisation.
Your engineer handles data annotation strategy, augmentation pipelines, model versioning, and CI/CD for ML — end to end.
What to Expect
Fill a 5-minute intake form. A Delivery Lead calls you within 24 hours to scope requirements, data situation, and preferred stack.
We surface 2–3 computer vision engineers matched to your domain. You review profiles, join intro calls, and choose your fit.
You and your engineer agree a sprint plan — model targets, accuracy benchmarks, timelines, and success criteria before any work begins.
Your engineer works in focused sprints. Your Engagement Manager audits every output. You review at each milestone checkpoint.
Add engineers, extend sprints, or wind down — no lock-in. You stay because it's working, not because you're contracted.
Why Kovil AI
| Kovil AI | In-House Hire | Big Agency | Freelancer | |
|---|---|---|---|---|
| Time to start | 24–48 hours | 2–3 months | 2–4 weeks | 1–2 weeks |
| CV specialisation | Deep domain | Varies | Varies | Varies |
| Managed delivery | ✓ Always | ✗ | Partial | ✗ |
| Risk-free trial | ✓ 2 weeks | ✗ | ✗ | Rarely |
| Production deploy | ✓ Included | Depends | Extra cost | Varies |
| IP ownership | 100% yours | 100% yours | Often shared | Varies |
FAQ
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Tell us your use case. Matched in 48 hours. 2-week risk-free trial.