Computer Vision Engineer (Indore)

Computer Vision Engineer (Indore)

15 Oct
|
Vinfotech
|
Indore

15 Oct

Vinfotech

Indore

The roleComputer Vision Engineer · Full-time · Indore (office-based) · 2–4 years' experience
You will design, build, deploy and improve the vision models behind our products. This is not a research role: your work runs 24/7 on real cameras, in real conditions, for real customers.
What you'll do1. Build models for production. Build vision models that run reliably in real operational environments, from manufacturing plants to offices, not just in the lab. Handle what real sites throw at you: changing light, motion blur, occlusion and awkward camera angles.
2. Design and implement full pipelines. Own the whole lifecycle: data collection, labelling, model selection, implementation and optimisation. Then deploy to different hardware setups, from edge devices to on-premises servers.
3. Work with real camera setups. Integrate and tune network (IP) cameras, industrial cameras and NVRs, and get reliable video from them into your pipelines.
4. Extend our platform. Integrate current models, features and enhancements into our existing products without breaking what already runs.
5.



Scope new problems. Turn new customer problem statements into clear scopes, and build quick proofs of concept to test them.
6. Build agentic workflows around detection models. Combine CV detections with LLMs and VLMs so the system can explain what it saw, decide what to do next, and trigger the right action. This is where we are heading; prior experience is a plus, not a requirement.

What you bringMust-have
1. 2–4 years of hands-on CV work in real-world environments, including deploying and managing CV solutions in production: rollouts, updates, monitoring and uptime across customer sites.
2. Camera and stream handling: experience with either RTSP streams from IP cameras and NVRs, or industrial cameras (e.g. GigE or USB3 Vision, triggering, exposure and focus control). Plus camera calibration and setting up and managing regions of interest (ROI).
3. Strong Python, deep learning and classical vision fund

📌 Computer Vision Engineer (Indore)
🏢 Vinfotech
📍 Indore

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