Joining a cross-functional development team, the full-time Expert Agentic AI Engineer will design, build, and deploy production-grade AI models while optimizing performance and establishing MLOps workflows in a remote environment.
Key responsibilities
Design, build, train, and deploy machine learning, deep learning, or NLP models for production use
Optimize ML models for enterprise-scale performance and integrate them with data warehouses and automated workflows
Establish and scale MLOps workflows for model tracking, validation, and continuous deployment
Required qualifications
5+ years (Senior) or 8+ years (Expert) of experience in developing and maintaining machine learning models in production
Hands-on experience with Microsoft Copilot Studio or similar frameworks for building autonomous workflows
Proven experience deploying generative AI models within Azure AI Foundry
Elite proficiency in Python and core ML libraries like PyTorch or TensorFlow
A formal degree in Computer Science, Data Science, Mathematics, or a related quantitative field is preferred