Job description

job summary:We are seeking a skilled and motivated Azure Cloud Engineer with a specialization in AI/ML services to support the development, deployment, and maintenance of proof-of-concept (PoC) projects leveraging Microsoft Azure's AI capabilities. The ideal candidate will have hands-on experience with Infrastructure as Code (IaC), Terraform, Azure AI services, and a strong understanding of the AI/ML lifecycle. Experience with MLFlow, Python, and CI/CD tools is essential.This role will involve collaboration with technical product owners and cross-functional Agile teams to drive innovation, deliver working solutions, and support ongoing AI/ML initiatives. location: Charlotte, North Carolinajob type: Contractsalary: $65 - 70 per hourwork hours: 8am to 5pmeducation: Bachelors responsibilities:Design, build, and maintain cloud infrastructure using Terraform and Infrastructure as Code (IaC) principles on Azure.Deploy and support AI/ML services using Azure Foundry, OpenAI, and Azure AI Studio.Assist in the development and support of AI/ML proof-of-concepts (PoCs) and prototypes.Implement MLFlow pipelines, automate model tracking, and manage experiment lifecycle.Write, maintain, and optimize Python scripts for model development and orchestration.Collaborate within Agile teams, participate in sprint planning, and work closely with technical product owners.Use GitHub and GitHub Actions for version control and CI/CD pipeline automation.Contribute to the design and maintenance of reliable, scalable cloud solutions for AI/ML workloads.Ensure software development follows best practices across the lifecycle from development to deployment.Work with JIRA to track tasks and collaborate within Agile workflows. qualifications:Proven experience with Azure Cloud and deploying AI/ML services in production or PoC environments.Solid understanding of AI/ML concepts, lifecycle, and practical applications.Familiarity with software development best practices, code quality, and testing methodologies.Hands-on experience with MLFlow, Python, and containerization technologies.Prior experience or familiarity with Solution Architecture (SA) is a strong plus. skills: Azure AI Services (Foundry, OpenAI, Studio)Terraform and Infrastructure as Code (IaC)MLFlowPythonGitHub / GitHub ActionsAgile / JIRAAI/ML Lifecycle UnderstandingSoftware Development Lifecycle (SDLC) Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.

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