Description

You will design and implement production-grade cloud-based AI workloads on Azure within a capital markets or investment banking environment.

Responsibilities

• Deliver production-grade AI solutions using Azure OpenAI services.
• Implement LLM strategies including prompting and fine-tuning for GPT-3.5, GPT-4, and GPT-4o.
• Manage AI lifecycles using LLMOps, machine learning, and deep learning frameworks.
• Deploy and manage cloud infrastructure using Terraform and CI/CD tools like Bitbucket.

Required Skills

• 5+ years of experience implementing cloud-based AI workloads on Azure.
• 1+ years of experience implementing Azure OpenAI solutions.
• Hands-on experience with 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 Azure IaaS/PaaS.
• Practical experience with Terraform and Bitbucket for CI/CD.
• Background in Capital Markets or Investment Banking.
• Bachelor's Degree in Computer Science, Statistics, Data Science, or a related field.

Preferred Skills

• Azure AI Engineer Associate (AZ-102) certification.
• Azure Solutions Architect Expert certification or experience with AWS/Google Cloud.
• Experience with Copilot Studio and other LLMs.

Key Skills

Education

Bachelor's Degree in any of Computer Science, Statistics, Data Science