What are the responsibilities and job description for the Sr Azure AI Engineer position at VeeRteq Solutions Inc.?
Title : Sr. Azure AI Engineer
Experience : 10 Years and above
Location : New York City NY (Hybrid 3 days onsite)
Need only local candidates
Role Description :
This resource will be joining Windows team collaborating with various sectors within infrastructure like Security and Networking to create launch and support AI based cloud and hybrid applications.
Given the collaborative requirements of this position it is essential that the candidate possesses advanced Gen AI / Azure / technical skills alongside strong interpersonal abilities.
The candidate should demonstrate a strong blend of technical skill and industry knowledge and exhibit excellent communication teamwork customer service and leadership qualities to effectively engage with cloud engineering Power Platform engineering team information security and line of business teams.
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 productionready 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 cloudbased AI workloads on Azure delivering production grade solutions
Bachelors 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 GPT4 / 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 (AZ102)
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 nonfunctional 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
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