Computer Vision Engineer

Job Description
Key Responsibilities:
- Develop and implement computer vision pipelines for object detection, tracking, and marker detection.
- Utilize PyTorch and frameworks like YOLO, Ultralytics, MMDetection, SuperGradients for model training and deployment.
- Apply multi-frame temporal reasoning and feature embedding for identity tracking and matching.
- Optimize GPU performance using NVIDIA hardware, including TensorRT, CUDA, and batching strategies.
- Scale inference workloads using distributed frameworks such as Ray or Dask.
- Implement ReID models, cosine similarity scoring, and association logic for accurate tracking.
- Handle real-time video ingestion and streaming using RTSP, Kafka/MQTT, and asynchronous queues.
- Troubleshoot detection issues related to occlusion, blur, and orientation by tuning confidence thresholds.
- Deploy CV services in Docker containers, preferably with Ray Serve or FastAPI-based microservices.
- Store and validate eve...