Computer Vision / AI Engineer (Pune, Onsite/remote)
FrameIQ
At a glance
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Job description
Compensation: ₹2L – ₹3L • No equity
FrameIQ Edutech LLP (CVFrameIQ) builds AI-powered computer vision systems for industry: real-time inspection, safety monitoring and traceability on factory floors. You will work on products that run in plants, not just demos.
Location: Pune (onsite)
Experience: 0-3 years (freshers with strong projects can apply)
Type: Full-time/Contract. Internship (paid and unpaid) options are also available.
Compensation: ₹2-3 LPA, depending on skills and experience
Travel: Occasional customer site visits across India; travel and stay expenses covered by the company
What you will do
Build and train deep learning models for detection, segmentation and classification (YOLO-family and similar)
Prepare and improve datasets with our annotation team
Optimise models for edge deployment (NVIDIA Jetson, TensorRT) and real-time multi-camera streams
Read full description
Work with industrial GigE cameras, lenses and lighting during setup and testing
Build inference pipelines, dashboards and reports with the backend team
Visit customer sites for installation, testing and commissioning (FAT / SAT)
What we are looking for
Strong Python; hands-on with PyTorch or TensorFlow, and OpenCV
Experience training and evaluating object detection models
Comfortable with Linux and Git
Understanding of mAP, precision/recall and error analysis
Willingness to travel to customer sites occasionally
For freshers: a solid project, internship or GitHub work in computer vision is enough
Good to have: Jetson / TensorRT / ONNX, industrial cameras (GigE Vision, Hikrobot / Basler), Docker, REST APIs.
How to apply: Send your resume, GitHub or project links, and a short note on one computer vision project you built to Hr@cvframeiq.com with the subject “CV Engineer - Pune - [Your Name]”.
Key skills
- AI
- API
- Computer Vision
- Deep Learning
- Docker
- Git
- GitHub
- Linux
- Onnx
- Opencv
Important dates
How to apply
- 1
Open the official careers page on wellfound.com.
- 2
Create an account and fill in your education and contact details.
- 3
Upload your resume as a PDF under the size the form asks for.
Photos to PDF - 4
Submit and note your application ID for the test and interview emails.