About the Role
Responsibilities:
- Build and deploy machine learning models on the edge
- Develop CV pipelines: detection, segmentation, tracking, OCR, captioning, VQA
- Optimize models for real-time inference on edge and cloud
- Work with large-scale datasets, annotation workflows, and MLOps pipelines
Required Skills:
- Strong experience with PyTorch, CV/Deep Learning, and multimodal models
- Hands-on with Transformers, CNNs, embeddings, fine-tuning
- Python expertise + good engineering practices (Git, CI/CD, Docker)
- Familiarity with CUDA, ONNX/TensorRT, and AWS
Nice to Have:
- 3D vision (LiDAR/point clouds), NeRF, depth estimation
- Edge deployment (Jetson/Qualcomm/ANE)
- Research publications or open-source...
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