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Machine Learning Engineer II Data & Audience Platform Team , Hyderabad - Warner Bros. Discovery
ML Engineer
Machine Learning Engineer II building scalable ML solutions on AWS, designing data pipelines, and deploying models to serve audience insights for a global media platform.
About the role
Key Responsibilities
- Design, develop, and production‑grade machine learning models to power audience segmentation and recommendation engines.
- Build and maintain end‑to‑end data pipelines using AWS services (S3, Glue, Redshift, SageMaker) and SQL for feature engineering.
- Collaborate with data scientists, product managers, and platform engineers to translate business problems into ML solutions.
- Deploy models as RESTful services, monitor performance, and iterate for continuous improvement.
- Document model logic, data lineage, and performance metrics for compliance and audit purposes.
Requirements
- 3+ years of experience in machine learning engineering with a strong foundation in Python and libraries such as TensorFlow or PyTorch.
- Proficiency in AWS cloud services, especially SageMaker, Glue, and Redshift.
- Solid SQL skills and experience building data pipelines and feature stores.
- Hands‑on experience with model deployment, monitoring, and A/B testing.
- Excellent problem‑solving skills and ability to work in a fast‑paced, cross‑functional team.
Skills
pythonmachine learningawssqltensorflow