Job Description: Computer Vision Engineer (Deep Learning + OpenCV + TensorFlow)

START: ASAP

Duration: Long-term, full-time

Summary:

We are seeking a Computer Vision Engineer with expertise in deep learning, image processing, and OpenCV to develop AI-powered vision systems for real-world applications. The ideal candidate will work on object detection, facial recognition, autonomous systems, and image classification, leveraging state-of-the-art AI models and frameworks.

Compensation:

•Full-time (W2): $130K – $150K/year + benefits

•Contract: $100–$110/hour

Responsibilities:

• Design, train, and deploy computer vision models using TensorFlow, PyTorch, or OpenCV

• Develop real-time object detection, segmentation, and tracking algorithms

•Implement CNN architectures (YOLO, Faster R-CNN, Mask R-CNN, EfficientNet, etc.)

• Optimize vision models for speed, accuracy, and deployment on edge devices

• Work with 3D vision, SLAM, LiDAR, and stereo depth estimation for robotics and AR/VR applications

• Integrate AI-powered vision systems with embedded devices, cloud APIs, and real-time processing frameworks

• Conduct data augmentation, preprocessing, and model performance evaluations

• Stay up-to-date with the latest computer vision and AI research advancements

Qualifications:

•5+ years of experience in computer vision, deep learning, or AI development

• Strong proficiency in Python, OpenCV, TensorFlow, and PyTorch

• Experience with image processing, video analysis, and object tracking

•Familiarity with CUDA, TensorRT, and GPU acceleration for AI model optimization

• Understanding of edge AI and deployment on mobile or embedded platforms (NVIDIA Jetson, Raspberry Pi, etc.)

• Knowledge of Neural Network pruning, quantization, and model compression

• Experience with large-scale datasets, annotation tools, and data labeling

•Strong analytical and problem-solving skills

Compensation:

•Full-time (W2): $130K – $150K/year + benefits

•Contract: $100–$110/hour