Senior Member Technical Staff (MTS 3) - Machine learning

Roles and Responsibilities: • Lead the design, development, and implementation of AI/ML-based solutions across various product lines. • Collaborate with product managers, data engineers, and architects to translate business requirements into data science problems and solutions. • Take ownership of end-to-end AI/ML modules, from data processing to model development, testing, and deployment. • Provide technical leadership to a team of data scientists, ensuring high-quality outputs and adherence to best practices. • Conduct cutting-edge research and capability building across the latest Machine Learning, Deep Learning, and AI technologies. • Prepare technical documentation, including high-level and low-level design, requirement specifications, and white papers. • Evaluate and fine-tune models, ensuring they meet performance requirements and deliver insights that drive product improvements. • Production exposure to Large Language Models (LLM) and experience in implementing and optimizing LLM-based solutions.

Must-have Skills: • 4-6 years of experience in Data Science and AI/ML product development, with a proven track record of leading technical teams. • Expertise in machine learning algorithms, Deep Learning models, Natural Language Processing, and Anomaly Detection. • Strong understanding of model lifecycle management, including model building, evaluation, and optimization. • Hands-on experience with Python and proficiency with frameworks like TensorFlow, Keras, PyTorch, etc. • Solid understanding of SQL, NoSQL databases, and data modeling with ElasticSearch experience. • Ability to manage multiple projects simultaneously in a fast-paced, agile environment. • Excellent problem-solving skills and communication abilities, particularly in documenting and presenting technical concepts. • Familiarity with Big Data frameworks such as Spark, Storm, Databricks, and Kafka. • Experience with container technologies like Docker and orchestration tools like Kubernetes, ECS, or EKS

Optional (Good To Have) Skills: • Experience with cloud-based machine learning platforms like AWS, Azure, or Google Cloud. • Experience with tools like MLFlow, KubeFlow, or similar for model tracking and orchestration. • Exposure to NoSQL databases such as MongoDB, Cassandra, Redis, and Cosmos DB, and familiarity with indexing mechanisms. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.