🛠 Tech Stack

💼 About This Role

You'll build and optimize end-to-end personalization systems for a billion-user OTT platform. You'll refine models for scoring, ranking, and eligibility while ensuring robust experimentation and monitoring. This role leverages advanced ML and data insights to tackle cold starts and data drift.

🎯 What You'll Do

• Analyze large-scale user behavior and content metadata for insights
• Design and deploy ML models for recommendations and rankings
• Develop A/B test frameworks and analyze experiments
• Monitor model performance and detect data drift

📋 Requirements

• 4-7 years experience in data science
• Proficiency in Python and SQL
• Experience with recommendation systems or personalization
• Expertise in building and deploying ML models to production

✨ Nice to Have

• Experience with LLMs and embeddings
• Familiarity with big data technologies like Spark
• Experience with cloud platforms such as AWS or GCP