Senior Machine Learning Engineer, Hyderabad
Warner Bros. (Warner Bros. Entertainment Inc.) (company site, opens in a new tab)5–8 yrsHyderabadOn-siteDirect career pageEst. 25–45 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate low latency online ML serving systems for fraud scoring, message decisioning, personalization, and identity resolution at scale.
- Architect and lead ML systems for audience intelligence, forecasting, and content affinity models integrating real-time streaming and batch data features.
- Mentor junior engineers and collaborate cross-functionally to ensure scalable, reliable ML pipelines and continuous model improvement.
Minimum Requirements
- 5-8 years ML engineering experience or 2+ years with Ph.D. with senior scope and technical ownership.
- Proficient in Databricks, Spark, AWS Sagemaker; experience with production ML systems for large user bases.
- Master's or Ph.D. in CS, Statistics, ML, or related field, or equivalent experience.
- Expertise in ML frameworks (PyTorch, TensorFlow, XGBoost/LightGBM, scikit-learn) and strong fundamentals in statistics and machine learning.
Ideal Candidate Profile
- Experienced in end-to-end ML system ownership including production pipelines, model serving, and monitoring beyond just modeling.
- Background in optimization problems such as ranking, personalization, and multi-objective decisioning in complex environments.
- Familiarity with real-time inference, identity resolution, agentic AI frameworks, and ability to influence multi-team standards and architecture.