Senior Machine Learning Engineer(Growth & ML), Hyderabad
Core
Design and deliver production ML systems for audience targeting, advertising revenue, and subscriber retention across Warner Bros. Discovery's global portfolio.
Role type
Senior IC machine learning engineer (growth & personalization)
Builds
Production ML systems for identity resolution, lookalike modeling, forecasting, and content affinity
Domain
Media & Entertainment, Advertising, Streaming
Deliverable
production ML models
Required skills
Python, Databricks (PySpark, Delta Lake, MLflow), SQL, Snowflake, AWS (SageMaker), model evaluation, A/B testing, causal inference, entity resolution, embeddings/retrieval
Preferred skills
Ph.D. in CS/Stats, experience with agentic AI workflows, Data Clean Rooms
Technologies
Databricks, Snowflake, AWS, MLflow, PySpark, XGBoost, LightGBM
Responsibilities
Lead end-to-end development of production ML systems including data sourcing, feature engineering, training, and deployment; Design scalable feature pipelines and batch/near-real-time inference pipelines; Develop and optimize models for recommendations, ranking, and probabilistic matching; Champion MLOps best practices including model versioning, automated retraining, and drift detection; Mentor junior engineers and collaborate with product and data engineering teams
Seniority
Senior, hands-on IC with mentorship responsibilities (via careerplan.io/jobs/R000106146-senior-machine-learning-engineergrowth-ml-hyderabad-at-warnerbros)
