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AI/ML Architect

Sutherland·Worldwide·Chennai, IN·senior
pytorchscikit-learnmlai
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About Sutherland Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results. We are seeking an experienced AI/ML Architect with strong expertise in machine learning system design, production model deployment, and hands-on coding ability. The ideal candidate will be highly skilled in architecting end-to-end ML solutions, conducting code reviews across ML pipelines, and delivering scalable predictive analytics systems for enterprise clients. This is a hands-on architecture role requiring both technical depth and delivery leadership. Key Responsibilities: Design, develop, and maintain end-to-end ML architectures covering data ingestion, feature engineering, model training, deployment, and monitoring. Perform code reviews across ML pipelines, model implementations, and deployment scripts to maintain engineering quality standards. Build and deploy production machine learning models using frameworks such as LightGBM, XGBoost, scikit-learn, PyTorch, and TensorFlow. Implement MLOps pra

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