01Key Responsibilities
- Design, develop, and implement end-to-end computer vision models
- Work on use cases such as image classification, object detection, pose estimation, OCR, facial recognition, etc.
- Apply deep learning techniques using CNNs, GANs, and transformers for vision-based tasks
- Handle large-scale visual data and optimize pipelines for training, inference, and deployment
- Collaborate with cross-functional teams including software engineers, product owners, and clients
- Ensure robustness, accuracy, and scalability of deployed models in production environments
- Stay current with trends in computer vision research and integrate best practices into development
Required Skills & Qualifications:
- Bachelor's/Masters degree in Computer Science, AI, Machine Learning, or a related field
- 5 to 7 years of relevant experience in Machine Learning / AI, with at least 3+ years in Computer Vision
- Strong command over Python, OpenCV, TensorFlow/PyTorch, Keras, and related libraries
- Experience working with image processing, annotation tools, and video analytics
- Solid understanding of deep learning architectures (ResNet, YOLO, EfficientNet, etc.)
- Familiarity with model deployment using APIs, cloud platforms (AWS, Azure, GCP), or edge devices
- Proven ability to translate business needs into scalable AI solutions
Preferred Skills (Positive to Have):
- Experience with real-time video analytics
- Knowledge of edge deployment (e.g., Jetson Nano, OpenVINO)
- Exposure to MLOps practices and tools
- Prior work in OCR/NLP-CV hybrid use cases .
