Computer Vision Engineer
Position: Computer Vision Engineer
Role Summary
We are looking for a Computer Vision Engineer to develop and deploy AI-powered image and video analytics solutions for automated inspection, monitoring, detection, and classification applications.
Key Responsibilities
- Develop computer vision and deep learning algorithms for object detection, classification, tracking, segmentation, and anomaly detection.
- Build and optimize models using frameworks such as PyTorch, TensorFlow, and OpenCV.
- Collect, prepare, and manage image and video datasets for model training and validation.
- Develop real-time image processing pipelines and deploy models on GPU and edge-computing platforms.
- Collaborate with hardware, software, and system engineering teams for end-to-end solution development.
- Evaluate and improve system performance through testing and field validation.
Required Skills
- Bachelor's or Master's degree in Computer Science, Electronics, AI/ML, Robotics, or a related field.
- Strong programming skills in Python.
- Knowledge of computer vision, image processing, and deep learning concepts.
- Experience with OpenCV and at least one deep learning framework (PyTorch/TensorFlow).
- Familiarity with object detection models such as YOLO, SSD, Faster R-CNN, or similar.
Preferred Skills
- Experience with GPU acceleration, edge AI, and real-time video analytics.
- Knowledge of cameras, optics, and imaging systems (highly desirable).
Familiarity with Linux, Git, and software development best practices
Pay: ₹25,000.00 - ₹70,000.00 per month
Benefits:
Work Location: In person
