remoteonsite
Staff Machine Learning Engineer Data & Audience Platform Team , Hyderabad - Warner Bros. Discovery
ML Engineer
Lead end‑to‑end ML solutions for a large audience platform, building scalable models on AWS, integrating data pipelines, and driving insights that shape content recommendation and monetization strategies.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that power audience segmentation, recommendation, and monetization across a global content platform.
- Collaborate with data engineers to build robust data pipelines, ensuring high‑quality, real‑time data feeds for model training and inference.
- Leverage AWS services (SageMaker, Lambda, Glue, Redshift) to scale ML workflows and maintain cost‑effective infrastructure.
- Implement model monitoring, A/B testing, and continuous improvement loops to maintain performance and relevance.
- Mentor junior ML engineers and cross‑functional teams, fostering best practices in experimentation, version control, and reproducibility.
Requirements
- 10+ years of experience in machine learning, with a strong background in deep learning and large‑scale data processing.
- Proficiency in Python, PyTorch/TensorFlow, and experience with AWS ML services.
- Hands‑on experience building end‑to‑end ML pipelines, from feature engineering to deployment and monitoring.
- Strong analytical skills, with a track record of translating business problems into data‑driven solutions.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawsdeep learning