Azure DevOps/ML Ops Engineer
Azure DevOps/ML Ops Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Role: Azure DevOps/ML Ops Engineer
Location: Atlanta GA(Hybrid) and Frisco TX - Onsite
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.
Employment Type
Full-time
