Company Description Logic Clutch Software LLP specializes in cutting-edge artificial intelligence and machine learning technologies to transform industries, smart cities, highways, and security systems. With a team of engineers, we develop custom AI/ML applications that solve complex challenges. Partner with us to harness the power of AI and stay ahead in today's rapidly evolving technological landscape. Role Description This is a full-time hybrid role for a Computer Vision AI Engineer at Logic Clutch Software LLP. The engineer will be responsible for developing and implementing computer vision algorithms, working on pattern recognition, robotics, data science, and computer science projects. This position is based in Jaipur with the option for some remote work. Qualifications Computer Vision and Pattern Recognition skills Experience in Data Science and Computer Science Knowledge of Robotics Strong problem-solving and analytical skills Experience in developing AI/ML applications Bachelor's or Master's degree in Computer Science or related field Experience with deep learning frameworks like TensorFlow or PyTorch Excellent communication and teamwork skills Show more Show less
At Logic Clutch, we’re building cutting-edge Vision AI products, including our flagship platform LogicEye – redefining surveillance, industrial automation, and workplace safety through intelligent camera systems. We’re looking for a Computer Vision AI Engineer who is hands-on with the NVIDIA ecosystem and passionate about building real-time, edge-based intelligent video analytics systems. What You'll Work On Develop and deploy real-time CV pipelines using NVIDIA DeepStream, VPI, TensorRT, and JetPack on Jetson (Nano, Xavier, Orin) devices Integrate CV models with low-latency streaming and edge inferencing frameworks Optimize AI models for edge inference (YOLO, SSD, custom CNNs) Collaborate with AI, Embedded, and Backend teams for full-stack vision system integration. Required Skills Strong experience with NVIDIA DeepStream SDK, JetPack SDK, Triton Inference Server, TensorRT, CUDA Experience deploying AI models on Jetson Nano / Xavier / Orin Hands-on with OpenCV, GStreamer, Python/C++ Familiarity with ONNX conversion, model quantization and performance benchmarking Bonus: Experience with custom hardware (USB cameras, CSI cameras, industrial sensors) Ready to build real-world Vision AI? Apply now or refer someone you know! 📧 info@logicclutch.com