Senior AI/ML Data Scientist I

Responsibilities

• Architect and implement sophisticated AI/ML systems to unlock novel insights from complex audience data.
• Lead the development, training, and validation of classical machine learning models and deep learning architectures.
• Perform extensive data preprocessing, feature engineering, and exploratory data analysis (EDA).
• Implement rigorous model evaluation and optimization techniques to ensure production-grade performance.
• Collaborate with MLOps and DevOps teams to deploy, monitor, and manage the model lifecycle.
• Research and apply cutting-edge advancements in Computer Vision, Transformers, and Multi-Modal LLMs.
• Document methodologies and communicate technical findings to both technical and non-technical stakeholders.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
• 3 to 10 years of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision.
• Expert proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Demonstrable experience with Multi-Modal Large Language Models (LLMs) and Transformer architectures.
• Proficiency in SQL for data extraction and manipulation.
• Solid understanding of MLOps principles and tools like Docker, Kubernetes, or MLflow.
• Full Stack Development experience in at least one technology stack.
• Strong software engineering fundamentals, including Git, testing, and CI/CD practices.

Preferred Qualifications

• Experience with Generative AI models.
• Track record of publications in top-tier AI/ML or Computer Vision conferences/journals.
• Experience with video processing, analysis techniques, or working with sports data.
• Proficiency in cloud computing platforms (AWS, GCP, or Azure).
• Familiarity with distributed computing tools such as Apache Spark or Kafka.

About the Company

Nielsen is passionate about powering a better media future by providing powerful insights that drive client decisions. We are dedicated to capturing audience engagement with content wherever and whenever it is consumed, standing at the forefront of the media revolution.