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 (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

📌 Machine Learning (Navi Mumbai)
🏢 Acura Solution
📍 Navi Mumbai