Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of
Akeneo is the leading AI-powered Product Data Platform that helps brands, manufacturers, distributors, and retailers unify product data and pricing to power better product experiences, smarter decisions, and business growth in an AI-driven commerce world. We’re
Your Impact We are looking for a Senior AI Engineer to join the Customer Care Contact team in the Business Performance domain. Your mission will be to build AI-powered tools that revolutionize how healthcare professionals deliver care.
Company Description The Grinding & Dispersing division is one of the worlds leading suppliers of grinding and mixing technology. The comprehensive range of machines and systems is used in a wide variety of industries such as the
Akeneo is the leading AI-powered Product Data Platform that helps brands, manufacturers, distributors, and retailers unify product data and pricing to power better product experiences, smarter decisions, and business growth in an AI-driven commerce world. Were
About Datadog Were on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling
This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native
Health can’t wait. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end
Tech Lead Java (F/H) – SFEIR Nantes Location: Nantes. Employment type: CDI (full‑time). Work mode: Hybrid. About the Role Lead a technical team while continuing to code. Set the example in code quality, engineering practices and
Overview Define and evolve AI architecture choices: ML, deep learning, generative AI, LLMs; Design robust, scalable AI solutions aligned with business objectives; Ensure the technical quality of deliverables and oversee code reviews; Drive technology choices and