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 pipelinefrom 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 CV/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)
- Can work on other non-vision AI implementations
