Lead Microsoft Azure MLOps Engineer

EPAM Systems; Chile; Remote; CLP 42,000,000 - 66,000,000; Full time

Job summary

EPAM Systems Inc. seeks a seasoned Lead Microsoft Azure MLOps Engineer to build and operate production-grade ML platforms on Microsoft Azure. You will lead MLOps across CI/CD, model lifecycle management, and monitoring while partnering with researchers and engineers.

You will implement end-to-end ML pipelines, build CI/CD workflows with Azure DevOps, and orchestrate deployments on AKS and Azure. Strong leadership and English communication are required.

Qualifications

• 5+ years of experience delivering production ML systems and model deployments.
• 1+ years of technical leadership or mentoring experience.
• Strong hands-on experience with Microsoft Azure for ML workloads.
• Hands-on MLOps experience with CI/CD, model lifecycle management, and monitoring.

Responsibilities

• Lead design and delivery of end-to-end MLOps pipelines for training and deployment.
• Build CI/CD workflows for ML services and model artifacts using Azure DevOps.
• Deploy and operate ML workloads on Azure and Kubernetes environments.
• Implement model lifecycle management, monitoring, and alerting for production systems.
• Coordinate cross-functional engineering work to meet reliability and release goals.

Skills

Leadership

Cross-functional collaboration

Mentoring engineers

English communication

Tools

Azure DevOps

Kubernetes

AKS

Terraform

Databricks

Google Cloud Platform

Job description

We are looking for a seasoned Lead Microsoft Azure MLOps Engineer to join our team.We are building and operating production-grade ML and foundation model platforms on Microsoft Azure, helping clients ship reliable AI at scale. You will lead MLOps engineering across CI/CD, model lifecycle management, and monitoring while partnering closely with researchers and engineers.ResponsibilitiesLead design and delivery of end-to-end MLOps pipelines for training and deploymentBuild CI/CD workflows for ML services and model artifacts using Azure DevOpsDeploy and operate ML workloads on Microsoft Azure and Kubernetes environmentsImplement model lifecycle management, monitoring, and alerting for production systemsHarden software engineering practices through testing, automation, and code reviewsCollaborate with ML researchers and data scientists to productionize foundation modelsCoordinate cross-functional engineering work to meet reliability and release goalsOptimize infrastructure automation and reproducibility using TerraformTroubleshoot production issues across platform, pipeline, and runtime layersGuide technical decisions and mentor engineers to raise team standardsRequirements5+ years of experience delivering production ML systems and model deployments1+ years of technical leadership experience mentoring engineers or leading technical initiativesStrong hands-on experience with Microsoft Azure for ML workloadsHands-on experience with Kubernetes and Azure Kubernetes Service (AKS)Project delivery experience coordinating cross-functional teams and prioritiesStrong Python skills with PyTorch and/or TensorFlow expertiseStrong software engineering practices in testing, code quality, and automationHands-on MLOps experience with CI/CD, model lifecycle management, and monitoringInfrastructure as code experience with TerraformCI/CD platform experience with Azure DevOpsStrong collaboration skills working with ML researchers and data scientistsExcellent command of written and spoken English (B2+ level)Nice to haveAzure Kubernetes Service (AKS) expertise for GPU-based workloadsDatabricks experience supporting ML platform workflowsGoogle Cloud Platform knowledge for multi-cloud ML deploymentsDistributed training framework experience for large-scale model trainingPerformance optimization experience for GPU workloads and model inferenceWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.