ML/AI Engineer - Careernet

Description: Collaborate with Data Science teams to implement Machine Learning models into production. Design and deliver Generative AI solutions and manage industrialized processing pipelines. Define best practices in ML model lifecycle and operations, including MLOps frameworks. Present solutions and create technical documentation for internal and external clients. Requirements: Minimum 6+ years of experience with Microsoft Copilot Studio / Azure AI Foundry and enterprise AI agents. Strong knowledge of topics, triggers, variables, and Generative Answers. Experience integrating with Power Automate, SharePoint, Dataverse, and Azure OpenAI/Foundry models. Familiarity with Power Platform ALM, Azure services, and deployment environments is advantageous. Benefits: Stable employment with a company established since 2008, employing over 1500 talents globally. Flexible work options: remote or in-office, with adaptable working hours. Comprehensive onboarding program and access to the Udemy learning platform from day one. Opportunities for upskilling, including 500+ technology certificates and 110+ training sessions yearly.