• Design and review machine learning architecture pipelines end-to-end • Architect scalable models using tools like TensorFlow, PyTorch, Scikit-learn • Drive data strategy, feature stores, model lifecycle (training, deployment, monitoring) • Collaborate with data engineering and product teams to align technical goals • Define standards for MLOps, model governance, and responsible AI • Own the technical design for backend systems built on Java / Spring Boot • Create solution blueprints, architecture documents, and design patterns • Guide teams on microservices, containerization, API design, and DevOps • Conduct code reviews, architecture assessments, and risk mitigation • Collaborate with product and infrastructure teams for seamless delivery • Analyze requirements and design technical solutions across platforms • Create architecture roadmaps for applications, integrations, and cloud infrastructure • Lead POCs, architecture evaluations, and tech selection • Act as a technical bridge between stakeholders, developers, and leadership