Azure AI

Responsibilities

• Translate the business requirements for AI applications into viable AI solutions within Azure
• Select appropriate Azure technologies, considering deployment models and their seamless integration with existing tools
• Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions
• Gather feedback from diverse stakeholders to ensure that the technical implementation aligns with both current and future AI requirements
• Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance
• Gain an understanding of and contribute to LLM operations, focusing on the infrastructure and operational capabilities required to deploy Azure AI solutions
• Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization
• Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery
• Establish the Azure OpenAI service in Microsoft Azure with an architecture tailored to support business teams

Preferred Qualifications and Skills

• 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