Job Description

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

Job Tags

Full time,

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