Senior Machine Learning Engineer(Growth & ML), Hyderabad
Warner Bros. Discovery17 hours ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Lead end-to-end development of production ML systems, including data sourcing, feature engineering, model training, evaluation, deployment, and monitoring.
- Build scalable batch and near-real-time feature and inference pipelines on Databricks and integrate them with Snowflake and activation systems such as Mosaic, FreeWheel, and GAM.
- Develop models for identity resolution, lookalike and propensity audiences, content affinity, ranking, recommendations, forecasting, and causal or incrementality measurement.
- Design offline and online experiments and evaluation frameworks using metrics such as precision/recall, AUC-ROC, NDCG, decile lift, and calibration curves.
- Implement MLOps practices including model versioning, champion/challenger promotion, retraining triggers, drift detection, monitoring, data-quality checks, and model-health dashboards.
- Contribute to feature-store strategy through feature contracts, backfills, freshness SLAs, and training/serving consistency controls.
- Apply FinOps practices such as compute caps, auto-termination, and job tagging to ML pipeline design.
- Mentor MLE 2s through code reviews, design discussions, and pairing, while leading technical decisions and standards.
- Partner with Product, Marketing, Ad Sales, and Data Engineering to translate business requirements into ML solutions and communicate performance and business impact.
Requirements
- 5–8 years of industry experience in ML engineering or applied data science, or 3+ years with a Ph.D.
- Deep Python expertise and production-quality software engineering experience building and deploying ML systems at scale for millions of users or records.
- Strong proficiency with Databricks, including PySpark, Delta Lake, Workflows/DLT, MLflow, and Unity Catalog.
- Solid SQL and Snowflake experience for feature sourcing and model-output delivery.
- Experience with AWS ML services, including SageMaker, S3, and Lambda.
- Strong understanding of model evaluation, A/B testing, and statistical inference, with knowledge of recommendations and ranking, identity resolution, embeddings and retrieval, causal or interpretable ML, forecasting, bandits, or optimization.
- Demonstrated ability to lead technical decisions and mentor engineers.
- Bachelor’s or master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent experience.
- Preferred experience includes recommendation systems, personalization, identity resolution, audience modeling, media or ad-tech, Data Clean Rooms, two-tower retrieval, probability calibration, feature stores, open source, or ML publications.
- Preferred familiarity with Snowflake DCR, AWS Clean Rooms, LangChain, LangGraph, AutoGen, MCP, Databricks Genie Space, Snowflake Cortex, Databricks Feature Store, Tecton, and Feast.
Benefits
- Fast-track growth opportunities.
- Equal opportunity employer and inclusive workplace with accessibility accommodations available.
- The role is based in Hyderabad; no remote or hybrid arrangement is stated.
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About Warner Bros. Discovery
Warner Bros. Discovery is a global media company that produces and distributes film, television, streaming, sports, news, and games for consumers and distribution partners. Its portfolio includes Warner Bros. Pictures, HBO and Max, CNN, Discovery Channel, HGTV, and DC, with revenue from subscriptions, advertising, licensing, and theatrical releases. Formed in 2022 through the merger of WarnerMedia and Discovery, it is headquartered in New York City and trades on Nasdaq as WBD.