Manager, Machine Learning Engineering and Data Science

Manager, Machine Learning Engineering & Data Science, Hyderabad Location: Hyderabad - Phoenix Equinox Tower 2 Remote Type: Hybrid Time Type: Full time Job Description Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Manager, Machine Learning Engineering & Data Science , Hyderabad About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles and Responsibilities: The Manager – Machine Learning Engineering & Data Science will lead a team of Machine Learning Engineers and Data Scientists responsible for building, deploying, and operating large ‑ scale ML systems that power critical business capabilities across consumer platforms. This role brings together Data Science, ML engineering, platform reliability, and people leadership, with the opportunity to shape production ML systems in areas such as user behavioral modeling, fraud and abuse detection, transaction intelligence, and lifecycle engagement. This role will also lead the development of ML platform capabilities across the full lifecycle, including pipeline orchestration, experimentation frameworks, model promotion, deployment, and observability, enabling scalable and reliable production ML systems. The role requires strong hands ‑ on technical depth, experience in designing data science experiments, architecting scalable ML solutions, and building production-grade systems, along with the ability to scale teams, processes, and platforms. Key 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 an