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 customer’s demands.

Key Responsibilities

• Define and execute the AI/ML strategy for content generation (Gen-AI), entity linkage and matching, image processing, and content understanding.

• Lead the development of next-generation content generation systems using Large Language Models (LLMs)

• Architect scalable data platforms to support real-time and batch processing of media-rich datasets.

• Own the Data Quality of the deliverables and ensure the consistent performance of the models and their output quality.

• Define and implement standards for the organization that match industry best practices.

• Collaborate with product, engineering, and business teams to drive AI-powered innovation.

• Improve computer vision models for automated content tagging, video summarization, and understanding.

• Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML models.

• Stay ahead of emerging trends in AI, deep learning, and media tech, integrating new research into practical applications.

• Mentor and grow a team of data scientists and engineers.

Required Skills:

• Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow).

• Extensive experience in deep learning, reinforcement learning, NLP, and computer vision.

• Experience in large-scale machine learning model deployment and optimization.

• Proven leadership skills in building and scaling data science teams.

• Experience with Kubernetes, Docker, and cloud AI services.

• Master’s in AI, Machine Learning, Data Science, or a related field.

• 8+ years of experience in data science and machine learning, with at least 3+ years leading teams.

• Strong track record in building AI-driven solutions for media and entertainment.

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