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Key responsibilities include:1. Developing and deploying sophisticated incentive recommendation models to optimize customer engagement and loyalty.
2. Leading the creation of advanced Neural Network or Large Language Model-based recommendation systems to provide personalized experiences.4. Applying reinforcement learning methods in production to continuously improve and adapt customer behavior models.
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Expert in developing large-scale ML systems in a production environment
- Extensive experience applying theoretical models in an applied environment
- Demonstrated proficiency in deep learning models, experience building production level causal inference models
- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)
- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience.
- Experience coaching and reviewing work of junior ML Scientists, making great hiring decisions.
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