Company Description
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights--delivered with advanced analytics through state-of-the-art platforms--NIQ delivers the Full View(TM).
NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population. For more information, visit NIQ.com.
Software Engineer Full Stack (Java, Spring boot, Backend SQL, ML , CI/CD(Devops),Angular)
NIQ is looking for a Software Engineer to join our AI ML Engineering team.
At NIQ, the Retail Measurement System (RMS) is a powerful analytics service that tracks product sales and market performance across a wide range of retail channels. It provides comprehensive, store-level data that helps businesses understand how their products are performing in the market, benchmark against competitors, and identify growth opportunities. Charlink and Jarvis models are used to predict product placements to its ideal hierarchy product tree. Learn more on the data driven approach to train models efficiently to predict placements based on Characteristics. Developing frontend applications to interact with ML models, integrating inference codes, and providing tools and patterns for enhancing our MLOps cycle.
The ideal candidate has strong software design and programming experience, with some expertise in cloud computing, and big data technologies, and strong communication and management skills. You will be part of a diverse, flexible, and collaborative environment where you will be able to apply and develop your skills and knowledge working with unique data and exciting applications. Our Software Engineering platform is based in Java, React, Spring Boot, Typescript, Javascript, Sql and Snowflake, and we continue to adopt the best of breed in cloud-native, low-latency technologies.
Who we are looking for:
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