Staff Machine Learning Engineer (Data & Audience Platform Team), Hyderabad
Core
Architect and lead the delivery of foundational AI/ML systems for identity resolution, audience intelligence, content affinity, and forecasting across Warner Bros. Discovery brands.
Role type
Staff Machine Learning Engineer (IC)
Builds
Production ML systems, MLOps infrastructure, and agentic AI workflows
Domain
Media & Entertainment, AI/ML, Data Engineering
Deliverable
production ML models
Required skills
ML engineering, data engineering, feature engineering, MLOps, probabilistic modeling, entity resolution, embeddings, graph neural networks, forecasting, agentic AI, Databricks, AWS, Snowflake
Preferred skills
Ph.D., experience with DCR-native modeling, LLM-augmented pipelines, MCP-based tooling
Technologies
Databricks, Snowflake, AWS SageMaker, MLflow, Unity Catalog, GitHub Actions, Cursor, Amazon Q
Responsibilities
Define technical architecture for core ML systems and MLOps framework; Architect and lead delivery of probabilistic identity resolution and audience intelligence models; Establish engineering standards for the full ML lifecycle; Lead adoption of agentic AI development and emerging capabilities; Provide mentorship to Senior and MLE 2 engineers.
Seniority
Staff, hands-on IC with strategic influence