Machine Learning Engineer

Job Description

Nielsen is seeking an organized, detail oriented, team player, to join the Engineering team in the role of Machine learning Engineer . Nielsen’s Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible to define, develop, test, analyze, and deliver technology solutions within Nielsen’s Collections platforms. Qualifications: Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Responsibilities: Bachelor's degree in Computer Science or equivalent degree 6+ years of software experience Experience with Machine learning frameworks and models The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services Data quality checks & onboarding the data on to the cloud for modeling purposes Prompt Engineering, FT work, Evaluation, Data End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering Comfort in Python and Java is highly desirable The ML Engineer will head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in a delivery pod Show more Show less