Computer Vision Data Scientist

Job Title: Computer Vision Data Scientist About Us At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. Key Responsibilities Design, develop, and optimize computer vision models for: Object Detection Image & Instance Segmentation Multi-Object Tracking Human Pose Estimation Build and train deep learning models using frameworks such as PyTorch or TensorFlow. Convert and optimize models for edge deployment using: TensorRT OpenVINO NVIDIA TAO Toolkit Perform model quantization, pruning, benchmarking, and latency optimization. Deploy models on edge hardware platforms (NVIDIA Jetson, Intel-based edge devices, etc.). Write clean, scalable, and production-ready code in Python. Collaborate with cross-functional teams including ML engineers, software developers, and hardware teams. Conduct performance evaluation, debugging, and continuous improvement of deployed systems. Stay updated with the latest research and advancements in computer vision and edge AI. Required Qualifications Strong expertise in: Object detection architectures (e.g., YOLO, Faster R-CNN, SSD) Segmentation models (e.g., U-Net, Mask R-CNN) Tracking algorithms (e.g., DeepSORT, ByteTrack) Pose estimation frameworks (e.g., OpenPose, HRNet) Proven experience deploying optimized models using: TensorRT OpenVINO NVIDIA TAO Toolkit Strong Python programming skills. Experience with model optimization techniques (INT8 quantization, FP16, pruning). Familiarity with ONNX and model conversion pipelines. Understanding of GPU acceleration and edge hardware constraints.