MLOps Engineer

• Use semi-supervised learning and few-shot learning to remove photos from unlabeled clothing data before training your classification model
• Create a highly accurate classification model utilizing semi-supervised learning techniques on real-world apparel data by filtering out (un-labeled data) and manually labeling the dataset
• Ensure high-accuracy brand and size determination from a product tag image
• Find techniques to obtain fresh data sources, then evaluate their reliability

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as an MLOps Engineer
• Prolific experience working on building models in PyTorch
• Demonstrable experience with MERN stack and GCP
• Extensive knowledge and experience developing and testing major APIs
• Nice to have some DevOps experience
• Great English communication skills, both spoken and written