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 that scale content understanding and generation,
entity linkage, and more to achieve the scale that matches our customerβs demands.
Key Responsibilities:
β Define and execute the AI/ML strategy for content generation (Gen-AI), entity linkage
and matching, image processing, and content understanding.
β Lead the development of next-generation content generation systems using Large
Language Models (LLMs)
β Architect scalable data platforms to support real-time and batch processing of media-rich
datasets.
β Own the Data Quality of the deliverables and ensure the consistent performance of the
models and its output quality.
β Define and implement standards for the organization that match industry best practices.
β Collaborate with product, engineering, and business teams to drive AI-powered
innovation.
β Improve computer vision models for automated content tagging, video summarization,
and understanding.
β Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML
models.
β Stay ahead of emerging trends in AI, deep learning, and media tech, integrating new
research into practical applications.
β Mentor and grow a team of data scientists and engineers.
Required Skills:
β Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow).
β Extensive experience in deep learning, reinforcement learning, NLP, and computer
vision.
β Experience in large-scale machine learning model deployment and optimization.
β Proven leadership skills in building and scaling data science teams.
β Experience with Kubernetes, Docker, and cloud AI services.
The Nielsen Company
https://careers.smartrecruiters.com/thenielsencompany