Computer Vision Engineer
Posted Updated 3
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Description
We are seeking a computer vision engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker.
Core responsibilities
- Model training: Train and fine-tune models for detection, classification, and segmentation (e.g., YOLO, ResNet, U-Net).
- Tracking: Implement multi-object tracking (MOT) algorithms for complex video streams.
- Engineering: Write production-grade Python code with a focus on modularity and scalability.
- Deployment: Containerize applications using Docker for consistent deployment.
Requirements
- 3+ years in computer vision/deep learning.
- Python, PyTorch, OpenCV.
- Strong preference for experience with NVIDIA TensorRT and model optimization (quantization/pruning).
- Solid grasp of software engineering principles (Git, testing, CI/CD).
- Ability to work on other non-vision AI implementations.