Role Overview:
As a Senior AI Data Scientist / Member Technical Staff II on the Gracenote 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鈥檚 demands.
Key Responsibilities:
- Define and execute the AI/ML strategy for content generation (Gen-AI), entity linkage and matching, image processing, and content understanding.
- 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 its 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 by 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).
- Expert-level proficiency in RAG
- 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.