Azure AI Engineer

Requirements: 
At least 5+ years of experience in implementing cloud-based AI workloads on Azure, delivering production grade solutions
Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field
At least 1 year of experience in implementing Azure OpenAI solutions
Generative AI, Deep Learning, Machine learning, LLMOps
LLM Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must. Experience in other LLMs would be a plus.
Certifications in AI/ML technologies and Cloud platforms, such as Azure AI Engineer Associate (AZ-102)
Certification in Azure Solutions Architect Expert and other cloud platforms e.g. AWS, Google would be a plus.
Programing experience in one of the languages - Python, R, Java, C#
Cloud Services Expertise: Azure OpenAI, Document Intelligence, AI Search, Cosmos DB, App service, Managed Identities, Customer Managed Keys, Azure IaaS and PaaS solutions, Copilot Studio
Experience in CI/CD Tools Bitbucket, Terraform is a must.
Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional, stress and performance testing
Strong knowledge of business analysis, requirement gathering, and gap analysis
Strong communication, presentation, and interpersonal skills
Fast learner, individual as well as a team player and can work under pressure
Power Automate development experience would be a plus