Senior Manager, Machine Learning Engineering (Data & Audience Platform), Hyderabad
On-site · Hyderabad, Telangana, India
Job Summary
Senior Manager, Machine Learning Engineering (Data & Audience Platform) in Hyderabad leads the Hyderabad ML Engineering center of excellence, managing a team of seven ICs across identity intelligence, audience intelligence, content affinity modeling, forecasting, and ML platform engineering. Responsible for technical execution, people development, and cross-functional delivery, aligning with global ML strategy. Core tech stack includes Databricks (primary), AWS SageMaker, Snowflake, MLflow, and agentic AI tooling. Key responsibilities include team leadership, hiring, setting standards for MLOps, and delivering production ML systems with reliability and cost-effectiveness. The role requires deep technical depth to review ML architectures, ownership of end-to-end delivery, and collaboration with Product, Ad Sales, Data Engineering, Legal/Privacy, and Finance. The candidate should have 12+ years in ML/DS/ML engineering with 3–5+ years in management and a Bachelor’s or Master’s degree in a quantitative field. The position emphasizes building an inclusive, globally integrated ML team and advancing ML workflows and governance across WBD’s ecosystem.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or related quantitative field
- 12+ years of total experience in ML, data science, or ML engineering
- 3–5+ years in engineering management
- Hands-on experience with ML stack: Python, Databricks/Spark, MLflow, cloud ML (AWS SageMaker preferred), SQL/Snowflake
- Experience leading teams of 6–12 ML engineers and/or data scientists in a matrix/global organization
- Ability to read and critique ML architectures and contribute to Staff-level discussions
- Excellent communication skills for technical and business contexts
- Preferred: ML leadership in streaming, ad-tech, or audience modeling/personalization
- Familiarity with Databricks Genie, Snowflake Cortex, MCP, and privacy-preserving ML
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