Responsibilities
- Build and optimize pose estimation pipelines using HRNet, including multi-person and sports use cases.
- Implement keypoint detection models with multi-stage refinement and heatmap generation.
- Customize and train YOLOv4/X for object detection, optimizing anchor tuning, NMS, and accuracy-speed balance.
- Evaluate and compare top-down vs bottom-up pose estimation approaches.
- Apply tracking techniques including Kalman Filters, DeepSort, and custom tracking heuristics.
- Analyze temporal coherence in high-FPS sequences (30–120fps).
- Implement segmentation models for semantic and instance-level use cases using both classical and deep learning methods.
- Convert models from PyTorch → ONNX → TensorRT, leveraging ONNXRuntime for inference.
- Apply quantization, pruning, batching, and memory optimization techniques to deploy models efficiently at scale.
- Optimize GPU memory usage and runtime throughput for large-scale inference workloads.
- Manage full-frame inference for high-FPS video using tools like FFmpeg, OpenCV, and Decord.
- Implement efficient clip segmentation, sampling strategies, and multi-threaded pre/post-processing pipelines.
- Deploy models in AWS, GCP, or Azure cloud environments.
- Develop scalable, containerized inference systems (Docker, REST APIs, async queues).
- Build video ingestion pipelines with automated processing and feedback loops.
- Develop evaluation pipelines for pose estimation (e.g., PCKh, mAP), detection accuracy, and frame-wise precision.
- Integrate scoring models to map visual outputs to business or sports-specific metrics.
Requirements
- 5+ years of experience in computer vision and deep learning
- Strong track record of delivering production-ready vision pipelines
- Proven ability to work independently and in a cross-functional remote team
- Experience in real-time or near-real-time video inference is a major plus
- Experience in the SportsTech industry or a related field involving human motion analysis
- Strong track record of delivering production-ready vision pipelines
- Experience communicating technical concepts to clients and stakeholders
