ML/AI Engineer

📋 Description

• Working with Data Science teams to implement Machine Learning models into production
• Design, delivery GenAI solutions
• Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
• Design, delivery and management of industrialized processing pipelines
• Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
• Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices

🎯 Requirements

• At least 6+ years of experience in Microsoft Copilot Studio / Azure AI Foundry with hands-on
• Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers
• Should be comfortable integrating with Power Automate, SharePoint, Dataverse, Microsoft Teams
• Experience with citations, metadata-based retrieval, multilingual handling, prompt/instruction
• Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD

🎁 Benefits

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
• “Office as an option” model. You can choose to work remotely or in the office, depending on your
• Flexibility regarding working hours and your preferred form of contract
• Comprehensive online onboarding program with a “Buddy” from day 1
• Cooperation with top-tier engineers and experts
• Unlimited access to the Udemy learning platform from day 1