Senior Data Scientist (AI & ML)

Role Overview: As a Senior Data Scientist (AI & ML) / 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 customers 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, 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. Qualifications: - Masters in AI, Machine Learning, Data Science, or a related field. - 4+ years of experience in data science and machine learning. - Strong track record in building AI-driven solutions for media and entertainment. (Note: Omitted "Additional Information" section as it was not present in the Job Description.) Role Overview: As a Senior Data Scientist (AI & ML) / 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 customers 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, 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. Qualifications: - Masters in AI, Machine Learning, Data Science, or a related field. - 4+ years of experience in data science and machine learning. - Strong track record in building AI-driven solutions for media and entertainment. (Note: Omitted "Additional Information" section as it was not present in the Job Description.)