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AI Engineer
Minor Hotels Europe and AmericasAI Engineer creating innovative applications using Generative AI and Azure technologies at Capgemini Engineering. Involves designing and implementing enterprise-level AI solutions and ensuring compliance.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing applications utilizing Generative AI, with a strong focus on deploying solutions using Azure managed services. Proficient in developing intelligent agents and semantic search solutions while adhering to MLOps and DevSecOps best practices.
Highest-signal resume keywords
Generative Artificial IntelligenceAzure ProficiencyPython DevelopmentMLOps Best PracticesDevSecOps Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative Artificial IntelligencePythonC#JavaScriptMLOpsDevSecOpsLangChainSemantic Kernel
Tools & Technologies
Azure Managed Services
Industry Keywords
Semantic SearchRAG SolutionsIntelligent AgentsEnterprise Copilots
Tech Stack
Tools & technologiesAzureJavaScriptPython
About the role
Key responsibilities & impact- Design and implement applications based on Generative AI
- Build enterprise copilots and intelligent agents
- Develop semantic search and RAG solutions
- Deploy solutions using Azure managed services
- Monitor performance, costs, and compliance of solutions
Requirements
What you’ll need- Experience with Generative Artificial Intelligence
- Proficiency in Azure and AI technologies
- Development experience in Python, C#, or JavaScript
- Knowledge of AI frameworks like LangChain and Semantic Kernel
- Experience with MLOps and DevSecOps best practices
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities