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
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Design, develop, and optimize computer vision models for:
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Object Detection
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Image & Instance Segmentation
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Multi-Object Tracking
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Human Pose Estimation
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Build and train deep learning models using frameworks such as PyTorch or TensorFlow.
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Convert and optimize models for edge deployment using:
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TensorRT
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OpenVINO
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NVIDIA TAO Toolkit
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Perform model quantization, pruning, benchmarking, and latency optimization.
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Deploy models on edge hardware platforms (NVIDIA Jetson, Intel-based edge devices, etc.).
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Write clean, scalable, and production-ready code in Python.
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Collaborate with cross-functional teams including ML engineers, software developers, and hardware teams.
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Conduct performance evaluation, debugging, and continuous improvement of deployed systems.
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Stay updated with the latest research and advancements in computer vision and edge AI.
Required Qualifications
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Strong expertise in:
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Object detection architectures (e.g., YOLO, Faster R-CNN, SSD)
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Segmentation models (e.g., U-Net, Mask R-CNN)
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Tracking algorithms (e.g., DeepSORT, ByteTrack)
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Pose estimation frameworks (e.g., OpenPose, HRNet)
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Proven experience deploying optimized models using:
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TensorRT
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OpenVINO
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NVIDIA TAO Toolkit
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Strong Python programming skills.
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Experience with model optimization techniques (INT8 quantization, FP16, pruning).
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Familiarity with ONNX and model conversion pipelines.
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Understanding of GPU acceleration and edge hardware constraints.
