Machine Learning Engineer II, Hyderabad
Core
Build and operate production ML systems for identity resolution, audience intelligence, advertising, personalization, forecasting, and retention across Warner Bros. Discovery's consumer platforms.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
Low-latency online serving systems, probabilistic identity resolution components, forecasting models, and MLOps workflows for global markets.
Domain
Media & Entertainment, Machine Learning, Real-time Systems
Deliverable
production ML models
Required skills
ML lifecycle ownership, optimization (ranking/forecasting), Databricks, Spark, Python, SQL, PyTorch, TensorFlow, XGBoost, statistics, production ML deployment, model monitoring, feature engineering
Preferred skills
Streaming/Identity/Fraud ML, real-time feature serving, mixture-of-experts, graph neural networks, published research
Technologies
AWS, Databricks, Snowflake, Mosaic, FreeWheel, Google Ad Manager, PyTorch, TensorFlow, XGBoost, LightGBM, scikit-learn
Responsibilities
Build low-latency online serving systems for fraud scoring and personalization; Develop ML models for identity resolution and time-series forecasting; Implement feature pipelines combining real-time and batch signals; Contribute to Audience Intelligence capabilities and ML Promo Optimizer; Implement MLOps workflows for experiment tracking and drift detection; Partner with cross-functional teams to translate business problems into ML solutions; Support junior engineers through code reviews and guidance.
Seniority
Mid-Senior, hands-on IC
