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

Requirements:

📍You are: 📍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.

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