Job Description:

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
Solid 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 (Valuable 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

📌 Machine Learning Navi Mumbai
🏢 Acura Solution
📍 Navi Mumbai