Job description

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services Position: Azure DevOps/ML Ops Engineer Location: Austin, TX 78746 Duration: 3 Months Job Type: Temporary Assignment Work Type: Hybrid Job Description • We are seeking an experienced Azure DevOps/ML Ops Engineer to join our team and play a crucial role in the implementation of our innovative AI-powered project. • You will be responsible for building and maintaining the CI/CD pipelines, managing the Azure infrastructure, and automating the machine learning lifecycle. • You will work closely with our development and data science teams to ensure a seamless and efficient development and deployment process. Responsibilities • Design, build, and maintain a robust and scalable CI/CD pipeline using GitLab for both our Python-based AI backend and web frontend. • Manage and provision Azure resources using infrastructure as code (IaC) principles (e.g., ARM templates, Bicep, Terraform). • Implement and manage monitoring, logging, and alerting solutions to ensure the health and performance of our applications and infrastructure. • Automate the machine learning lifecycle (MLOps), including model training, deployment, and monitoring. • Collaborate with developers and data scientists to troubleshoot and resolve issues related to infrastructure and deployments. • Ensure the security and compliance of our Azure environment. • Utilize container-based pipelines for building, testing, and deploying applications. • Stay up-to-date with the latest Azure and DevOps technologies and best practices. Requirements • Proven experience as a DevOps or MLOps Engineer in an Azure environment. • Strong understanding of CI/CD principles and extensive experience with GitLab. • Hands-on experience with infrastructure as code (IaC) tools like ARM templates, Bicep, or Terraform. • Experience with containerization (Docker) and orchestration technologies (e.g., Azure Kubernetes Service). • Familiarity with MLOps principles and tools (e.g., Azure Machine Learning). • Proficient in scripting languages such as Python or PowerShell. • Experience with monitoring and logging tools (e.g., Azure Monitor, Application Insights). • Excellent problem-solving and troubleshooting skills. • Strong communication and collaboration skills. TekWissen Group is an equal opportunity employer supporting workforce diversity.

Requirements