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Location: Chennai Company: GOOPIT Software Pvt. Ltd. About the Role We are looking for a passionate AI Developer specializing in Computer Vision to join our growing AI team. You will be responsible for designing, training, optimizing, and deploying AI models for intelligent CCTV video analytics. This is an exciting opportunity to work on next-generation AI surveillance technologies, including real-time object detection, event recognition, behavioral analysis, and edge AI deployment. Responsibilities - Develop and train AI models for CCTV video analytics. - Build real-time object detection and tracking systems. - Optimize AI models for high-performance inference. - Deploy AI models on edge devices and GPU servers. - Improve detection accuracy while minimizing false positives. - Integrate AI models with video management systems (VMS). - Work with live RTSP camera streams. - Research and implement the latest computer vision technologies. - Collaborate with software developers to integrate AI into production systems. Required Skills - Strong experience with YOLO (YOLOv8 / YOLOv9 / YOLOv10 / YOLO11). - Excellent knowledge of Python. - Experience with PyTorch or TensorFlow. - Experience using OpenCV. - Deep understanding of Computer Vision. - Experience with object detection, segmentation, and tracking. - Knowledge of image preprocessing and data augmentation. - Experience training custom datasets. - GPU optimization using CUDA. - Experience with Linux (Ubuntu preferred). - Familiarity with Docker. Preferred Skills - DeepSORT, ByteTrack, BoT-SORT or similar tracking frameworks. - ONNX, TensorRT, OpenVINO. - NVIDIA CUDA optimization. - Edge AI deployment. - Multi-camera tracking. - Action recognition. - Pose estimation. - OCR and License Plate Recognition (ANPR/LPR). - Face detection and recognition. - Fire & Smoke Detection. - PPE Detection. - Fall Detection. - Shoplifting Detection. - Intrusion Detection. - Crowd Analytics. - Heatmaps and People Counting. Nice to Have - Experience with CCTV systems. - Experience integrating with Milestone, Dahua, Hikvision, or similar VMS platforms. - Experience with RTSP, ONVIF, and IP cameras. - Knowledge of REST APIs and WebSockets. - Experience deploying AI on NVIDIA Jetson devices. What You'll Build You will help develop a modern AI Video Analytics platform capable of: - Real-time person detection - Vehicle detection - Multi-camera tracking - Fire & Smoke Detection - Shoplifting Detection - Intrusion Detection - People Counting - Queue Monitoring - Heatmaps - PPE Detection - Vehicle Classification - ANPR - Face Detection - Smart Alerts - AI Dashboard & Analytics Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - 2+ years of experience in Computer Vision or AI development. - Strong problem-solving skills. - Ability to work independently and as part of a team. Why Join Us - Work on cutting-edge AI technology. - Build products used in real-world security and surveillance. - Opportunity to work with advanced GPU infrastructure. - Career growth in Computer Vision and AI. - Friendly and innovative work environment. - Long-term opportunity with exciting AI products. Employment Type: Full time Experience: 26 Years Notice Period: Immediate or up to 30 days preferred. .
Here's where they are and how to stand out in your next interview.
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That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.