Senior Computer Vision & Edge AI Engineer

Responsibilities

• Design, develop, and optimize computer vision models for object detection, segmentation, multi-object tracking, and 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, and NVIDIA TAO Toolkit
• Perform model quantization, pruning, benchmarking, and latency optimization
• Deploy models on edge hardware platforms including NVIDIA Jetson, Intel-based edge devices, and NVIDIA IGX Orin
• Write clean, scalable, and production-ready Python code
• Collaborate with cross-functional teams including ML engineers, software developers, and hardware teams
• Conduct performance evaluation, debugging, and continuous improvement of deployed systems

Requirements

• 5+ years of hands-on experience in Computer Vision and Deep Learning
• Strong expertise in object detection architectures (e.g., YOLO, Faster R-CNN, SSD) and segmentation models (e.g., U-Net, Mask R-CNN)
• Proficiency with tracking algorithms (e.g., DeepSORT, ByteTrack) and pose estimation frameworks (e.g., OpenPose, HRNet)
• Proven experience deploying optimized models using TensorRT, OpenVINO, or NVIDIA TAO Toolkit
• Strong Python programming skills
• Experience with model optimization techniques such as INT8 quantization, FP16, and pruning
• Familiarity with ONNX and model conversion pipelines
• Strong understanding of GPU acceleration and edge hardware constraints

About the Company

At Codvo, software and people transformations go together. We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering. We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do.