Manager, Machine Learning Engineering & Data Science, Hyderabad

Manager, Machine Learning Engineering & Data Science , Hyderabad Roles and Responsibilities: Own end-to-end delivery: Accountable for delivering ML/DS initiatives from problem definition through production, ensuring timelines, quality, and business impact are consistently met. Own ML platform and lifecycle capabilities: Build and evolve core systems for ML pipelines, experimentation, model versioning/promotion, deployment, and observability, ensuring reproducibility, governance, and production reliability. Be a hands-on technical leader: Stay close to the work, review designs, guide modeling approaches, participate in key technical decisions, and help unblock complex ML and data challenges. Partner deeply with product and stakeholders: Work closely with Product, Engineering, and business teams to shape problem statements, prioritize work, and ensure ML solutions align to clear outcomes and KPIs. Drive execution with operational excellence: Establish strong planning, tracking, and risk management practices; ensure ML systems are production-ready with robust pipelines, automated deployment workflows, and end-to-end monitoring/observability. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.