ML/AI Engineer

📋 Description

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

🎯 Requirements

• Microsoft Copilot Studio
• Azure AI Foundry
• Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers
• Integration with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure
• 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
• Office as an option model
• Flexible working hours and contract form
• Comprehensive online onboarding with Buddy
• Cooperation with top-tier engineers
• Unlimited access to Udemy learning platform