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
- Robust 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.

📌 Computer Vision Data Scientist (Pune) (India)
🏢 Codvo.ai
📍 India