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Senior Member Technical Staff (Lead Data Science Engineer (Media Tech))

External
Thenielsencompany logoThenielsencompany · Bengaluru, IN
Full-timeOn-site1w ago
AirflowComputer VisionDeep LearningDockerKafkaKubernetes
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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.

Benefits

Vision insurance

Additional Information

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.


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