MLOps Engineer


Company Description

Le développement très rapide du e-commerce donne aujourd’hui accès à des milliers d’informations. Ces données sont difficilement exploitables par les entreprises, qui ont du mal alors à choisir les bons leviers d’action, et mesurer leur impact.

  • C’est là que Data Impact by NielsenIQ intervient! Chaque jour, nous collectons plus de 60 milliards d’informations, nous les traitons et les utilisons dans des outils de veille et d’action innovants à destination des professionnels du secteur.
  • Notre objectif : donner en temps réel à nos clients et aux consommateurs une véritable visibilité sur le marché.
  • Aujourd’hui : Data Impact by NielsenIQ est une start-up leader dans le secteur du ‘Retail Analytics’. En pleine croissance, notamment à l’international, nous cherchons de nouveaux collaborateurs pour intégrer notre fabuleuse équipe !
  • Une équipe jeune, mais expérimentée, dynamique et complémentaire : un esprit résolument start-up !
  • De réelles opportunités d’embauche et d’évolution
  • Une atmosphère conviviale et un climat de confiance, qui favorise l’autonomie et le challenge !

Job Description

At the core of our company, your main assignments will be to make direct contributions to the CI/CD and setup cloud resources to release, deploy, maintain and run our ML models and databases. You will also have to provide support to data scientists running and developing our models.


  • Design data pipelines
  • Engineering infrastructure to support Machine learning systems
  • Setup production stack for machine learning systems
  • Deploy tools and services that handle machine learning training and inference
  • Very good understanding about one or more container orchestration frameworks
  • Exposure to Google Cloud Tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI/KF Pipeline, etc.)
  • Apply software engineering best practices to machine learning, including CI/CD, automation, etc
  • Support model development, with experiment tracking, data tracking, etc
  • Facilitate the development and deployment of proof-of-concept machine learning systems
  • Understanding of MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions
  • Maintenance of the CI/CD implementations already in place
  • Database maintenance


  • Experience building end-to-end systems as an DevOps Engineer, Infrastructure engineer, cloud engineer, or MLOps engineer
  • Fluent in Python
  • Comfortable with Linux administration
  • Experience working with cloud computing and database systems
  • Experience deploying services in kubernetes
  • Experience using Helm
  • Experience with MLOps tools such as MLFlow, ZenML, ….
  • Understanding of software testing, benchmarking, and continuous integration
  • Professional level of French and English

Additional Information

Contrat : CDI

Localisation : Paris 10e


About NIQ

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™.

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

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center:

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