Computer Vision / AI Engineer (Pune, Onsite/remote)

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 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]”.