Computer Vision / AI Engineer (Pune, Onsite/remote)
FrameIQ
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What computer roles keep asking for: Python (59%), Computer vision (58%), Machine learning (40%), C++ (38%), PyTorch (30%), Deep learning (28%), Git (16%), Linux (16%) — counted across their open postings here.
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Interviews for computer roles keep coming back to Python, Computer vision, Machine learning, C++. Practise those questions before you sit with FrameIQ.
Questions you are likely to be asked
- Why do you want to join FrameIQ?
- What is your experience with Computer vision? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Computer Vision / AI Engineer (Pune, Onsite/remote) at FrameIQ interview free →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]”.
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Listed on wellfound · posted 2026-11-05. ApplySarthi collects openings and links to application pages; the role is advertised by FrameIQ, not by us.