About the job
Role Overview: As a Lead Data Science Engineer on the Gracenote Media team, you will be responsible for defining the AI/ML strategy, overseeing large-scale data science projects, and leading teams to build cutting-edge machine learning solutions. Key Responsibilities: - Define and execute the AI/ML strategy for content generation. - Lead the development of next-generation content generation systems using Large Language Models (LLMs). - Collaborate with product, engineering, and business teams to drive AI-powered innovation. Qualifications: - Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow). - Extensive experience in deep learning, reinforcement learning, NLP, and computer vision. - Strong track record in building AI-driven solutions for media and entertainment.
Requirements
- Python
- SQL
- Deep Learning
- NLP
- Computer Vision
Qualifications
- Master’s in AI, Machine Learning, Data Science, or a related field.
Preferred Technologies
- Python
- SQL
- Deep Learning
- NLP
- Computer Vision
About the company
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed.
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