Machine Learning / AI Engineer – Computer Vision Specialist

Key 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/Master’s 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 (Good 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