Computer Vision & Deep Learning Engineer (PyTorch/OpenCV)

We are a specialized AI/ML engineering team working on a high volume of complex projects across diverse industries (including Health Tech, AgTech, and Industrial Automation). As our project pipeline grows, we are looking to expand our core team with a highly skilled and hands-on Computer Vision Engineer. This is an ongoing, long-term opportunity to join a collaborative environment and work alongside other senior AI professionals to tackle real-world vision problems, from 2D object detection to 3D image segmentation and feature extraction. Core Responsibilities: - Collaborate with our existing engineering team on the design and implementation of computer vision pipelines (Object Detection, Semantic Classification, Image Segmentation). - Train, fine-tune, and evaluate deep learning models using PyTorch and TensorFlow. - Perform data preprocessing, augmentation, and handling of large-scale image/video datasets. - Optimize models for inference and assist in integrating computer vision APIs into our broader software architecture. - Write clean, well-documented, and production-ready Python code while participating in code reviews with the team. Mandatory Skills & Expertise: - Strong proficiency in Python and core computer vision libraries (OpenCV). - Proven hands-on experience with PyTorch (preferred) or TensorFlow. - Solid background in implementing architectures like YOLO, SSD, or similar for object detection/segmentation. - Experience with deep learning model evaluation and performance tuning. Nice to Have: - Experience with 3D Reconstruction, Stereo Matching, or Multi-view Geometry. - Knowledge of C++ and CUDA optimization. Familiarity with SLAM, Robot Operating System (ROS), or autonomous vehicle applications.