Teams at NielsenIQ

Research and apply state-of-the-art machine learning techniques, primarily in NLP, to large-scale business problems. Conduct feasibility studies, analyze large datasets, develop scalable and maintainable production-grade ML solutions, and collaborate on deployment. Communicate findings to technical and non-technical stakeholders, assess real-world applicability, and contribute to team development and collaboration.

Design, develop, and deliver scalable front-end applications, services, APIs, and reusable UI components. Write clean, maintainable code; build proofs of concept; ensure software quality and maintainability; and collaborate within an agile team using Angular, TypeScript, JavaScript, testing tools, GitHub, JIRA, and Figma.

Build production-grade generative AI applications and scalable Python pipelines using LangChain, LangGraph, and MCP. Architect distributed systems and modular Angular microfrontend applications, deploy workloads on Azure, and implement observability with Coralogix and LangSmith. Collaborate with cross-functional teams to deliver enterprise AI solutions. Preferred experience includes LLM fine-tuning, prompt engineering, Docker, Kubernetes, MLOps, and automated deployment pipelines.