Description

You will design and deploy production-grade cloud-based AI workloads on Azure, owning the full lifecycle from architecture to LLMOps.

This role is on-site.

Responsibilities

• Implement Azure OpenAI solutions and manage Generative AI workflows.
• Perform prompting and fine-tuning for GPT-3.5/Turbo and GPT-4/4o models.
• Architect and validate application frameworks using Azure IaaS and PaaS solutions.
• Gather non-functional requirements and execute functional, stress, and performance testing.
• Manage LLMOps, deep learning, and machine learning lifecycles.

Required Skills

• 5+ years of experience implementing cloud-based AI workloads on Azure.
• 1+ year of experience implementing Azure OpenAI solutions.
• Expertise in prompting and fine-tuning GPT-3.5/Turbo and GPT-4/4o.
• Proficiency in Python, R, Java, or C#.
• Experience with Azure OpenAI, Document Intelligence, AI Search, and Cosmos DB.
• Knowledge of App Service, Managed Identities, Customer Managed Keys, and Copilot Studio.
• Hands-on experience with Bitbucket and Terraform for CI/CD.
• Strong background in business analysis, requirement gathering, and gap analysis.

Preferred Skills

• Azure AI Engineer Associate (AZ-102) or Azure Solutions Architect Expert certifications.
• Experience with AWS, Google Cloud, or Power Automate development.
• Experience with other LLMs.

Key Skills

Education

Any Graduate