Senior Machine Learning Engineer (Consumer Team), Hyderabad

Overview

Senior Machine Learning Engineer for WBD’s Consumer Team in Hyderabad, building and operating production ML systems that power identity, audience intelligence, personalization, forecasting, engagement, and retention.

What you'll do

• Design and operate low-latency online serving systems for fraud scoring, message decisioning, and real-time personalization.
• Build ML models for identity resolution, audience intelligence, content affinity, genre-preference modeling, and time-series forecasting.
• Integrate with personalization systems to consume in-app user signals.
• Design feature pipelines that combine real-time streaming signals with batch-computed features for online scoring.
• Architect probabilistic identity resolution systems connecting unauthenticated device IDs and first-party cookies to households/persons.
• Lead evolution of Audience Intelligence, including ML Promo Optimizer, STAT v2, lookalike modeling inside Snowflake DCR, and content segmentation.
• Own forecasting ML architecture (audience growth, demand, yield, pricing) with monitoring and continuous improvement.
• Design offline and online evaluation approaches with baselines, success metrics, experiment design, and promotion criteria.
• Mentor MLE 2 engineers through reviews, design discussions, and hands-on problem solving.

What you'll need

• 5–8 years of ML engineering experience, or 2+ years with a Ph.D.
• Own systems end-to-end across problem definition, serving, and monitoring (not only modeling).
• Experience optimizing ranking, personalization, or multi-objective decisioning with interacting metrics.
• Hands-on experience with Databricks, Spark, and Sagemaker.
• Experience architecting production ML systems for large user populations.
• Expert proficiency with ML frameworks including PyTorch, TensorFlow, and XGBoost/LightGBM (and scikit-learn).