Computer Vision Engineer

Hiring for a USA based multinational Software Company

We are seeking a talented Computer Vision Engineer to join our team and develop innovative solutions using cutting-edge AI and image processing technologies. The ideal candidate will have strong experience in computer vision, machine learning, and deep learning frameworks to build real-world applications such as object detection, facial recognition, image segmentation, and visual analytics.

Design, develop, and implement computer vision algorithms for image and video analysis.

Work with datasets to train, test, and validate deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.

Build and optimize object detection, tracking, and recognition systems.

Collaborate with cross-functional teams including data scientists, ML engineers, and software developers.

Perform model evaluation, optimization, and deployment on cloud or edge devices.

Research and stay updated on the latest advancements in AI, deep learning, and computer vision technologies.

Write efficient, maintainable, and well-documented code.

Proven experience with Computer Vision and Deep Learning frameworks (TensorFlow, Keras, PyTorch).

Strong knowledge of Python, OpenCV, and image / video processing techniques.

Experience with CNNs, object detection (YOLO, Faster R-CNN, SSD), segmentation (U-Net, Mask R-CNN).

Familiarity with NVIDIA CUDA, GPU acceleration, and model optimization tools.

Understanding of data preprocessing, annotation, and augmentation methods.

Excellent analytical, problem-solving, and debugging skills.

Experience with real-time computer vision systems or edge AI (Jetson Nano, Raspberry Pi).

Knowledge of 3D vision, SLAM, or AR / VR technologies.

Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps workflows.

Contributions to open-source computer vision projects are a plus.