Senior Computer Vision Engineer

Key Responsibilities:

• Design, train, and optimize computer vision models (CNN, YOLO, ViT, etc.) for object detection, segmentation, and classification.
• Develop high-performance C++ and Python code for real-time CV applications.
• Work with frameworks like OpenCV, TensorFlow, PyTorch, and ONNX.
• Optimize models for edge devices (NVIDIA Jetson, Raspberry Pi, etc.) or cloud deployment.
• Implement multi-threaded and GPU-accelerated vision pipelines.
• Collaborate with ML engineers and software developers to deploy scalable CV solutions.
• Stay updated with the latest advancements in AI/ML and computer vision.

Required Skills & Qualifications:

• 3+ years of hands-on experience in computer vision and deep learning.
• Strong programming skills in Python and C++ (for performance-critical applications).
• Experience with OpenCV, TensorFlow, PyTorch, or similar frameworks.
• Knowledge of model optimization techniques (quantization, pruning, TensorRT).
• Familiarity with CUDA, GPU acceleration, and edge AI deployment.
• Experience with Linux, Docker, and cloud platforms (AWS/GCP/Azure) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

• Master’s/PhD in Computer Science, Electrical Engineering, or related fields.
• Published research or contributions to CV/ML communities (GitHub, arXiv, etc.).
• Experience with 3D vision (SLAM, stereo vision, LiDAR processing).

Why Join Us?

• Work on innovative AI-driven products with real-world impact.
• Competitive salary, flexible hours, and remote-friendly culture.
• Opportunities for career growth and R&D in cutting-edge AI.