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The Senior MLOps Engineer will develop, deploy, and manage ML models and infrastructure, optimize CI/CD pipelines, and ensure production system reliability while collaborating with teams.

Design and build core platform infrastructure for AI systems, optimizing APIs and data retrieval pipelines, while collaborating cross-functionally and ensuring quality standards.

The AI Engagement Manager bridges enterprise clients and AI solutions, managing all phases of AI engagements from sales support to delivery while ensuring successful outcomes for clients.

The Senior Backend Software Engineer will design and develop backend systems, maintain APIs, manage databases, and ensure security protocols. The role involves collaboration with various teams while mentoring junior engineers.

Lead the design and implementation of an AI-ready Data Lakehouse, focusing on data pipeline engineering, quality governance, security compliance, and capability building.