Senior Manager, Machine Learning Engineering Data & Audience Platform , Hyderabad - Warner Bros. Discovery
ML Engineer
Lead a high‑impact ML engineering team in Hyderabad, designing and deploying scalable data and audience platform solutions using Python, AWS, and advanced ML techniques to drive personalized content experiences.
About the role
Key Responsibilities
Lead and mentor a cross‑functional ML engineering team to design, develop, and deploy production‑grade models for audience segmentation and recommendation.
Architect end‑to‑end data pipelines on AWS (S3, Glue, Redshift, SageMaker) to ingest, transform, and serve large‑scale datasets.
Collaborate with product, data science, and platform teams to translate business requirements into scalable ML solutions.
Ensure model governance, monitoring, and continuous improvement through automated testing and performance tracking.
Drive best practices in code quality, CI/CD, and DevOps for ML workflows.
Requirements
10+ years of experience in ML engineering with a strong background in Python and AWS services.
Proven track record of deploying large‑scale ML models in production environments.
Deep knowledge of data engineering concepts, ETL pipelines, and data warehousing.
Excellent leadership, communication, and stakeholder management skills.
Experience with MLOps tools (SageMaker, Kubeflow, Airflow) and model monitoring frameworks.