Deployment Intern, Computer Vision
Guardex.ai
New Delhi, Delhi, IndiaFresher1h agovia LinkedIn
About Guardex
Guardex builds AI video intelligence for factories using existing CCTV cameras. Our systems help factory teams monitor operations, safety, compliance, and security through camera-based alerts and dashboards.
About the Role
We’re looking for a hands-on intern to help take deployments from client requirements through camera configuration, testing, and rollout. The role combines computer vision skills, practical problem solving, and some client interaction.
Key Responsibilities
- Understand client requirements.
- Join deployment and review calls, clarifying requirements with the client.
- Convert discussions into a clear camera-wise plan: use cases, zones, operating hours, thresholds, and other parameters.
- Document requirements and changes for the deployment team.
- Configure and support deployments by mapping use cases and settings to correct cameras.
- Help apply configuration changes through Guardex’s ops panel and verify they reach the deployment.
- Support testing and rollout at client sites.
- Deploy and configure computer vision pipelines for factory use cases.
- Use knowledge of YOLO, OpenCV, model fine-tuning, and inference optimisation to adapt deployments to real factory conditions.
- Support deployment tooling, including Docker-based deployments and related configuration.
- Work with the team to make deployments and updates more consistent and easier to manage.
Requirements & Tech Stack
- Practical computer vision knowledge, including YOLO, OpenCV, model fine-tuning, and inference optimisation.
- Ability to investigate detection errors and reason through false positives and missed detections.
- Familiarity with model training workflows and data preparation.
- A strong problem-solving mindset.
- Clear, organised communication.
- A proactive, hands-on approach.
- Willingness to interact with clients.
- Familiarity with Linux and Docker is useful.
Qualifications
- Knowledge distillation experience is a plus.
- Deeper DevOps experience is a plus.
Internship Duration: 3–4 months
Stipend: ₹20,000–₹30,000 per month
Location: Fully on-site, Delhi NCR
Possibility of a Pre-Placement Offer (PPO).