Computer Vision Engineer

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 contributions
Qualification level: Undergraduate / Bachelor’s Degree Field: Engineering / Technology Duration: Typically 4 years Eligibility: Completed 10+2 (or equivalent) with Physics, Chemistry, and Mathematics Awarded by: Universities / Institutes (AICTE-approved in India) Example...