Lead Microsoft Azure MLOps Engineer

EPAM Systems; Colombia; Remote; COP 120,000,000 - 210,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Volunteering opportunities

Job summary

EPAM Systems Inc is seeking a seasoned Lead Microsoft Azure MLOps Engineer to join our team. You will lead the design and delivery of production-grade ML pipelines on Azure, collaborating with researchers and engineers to scale AI across projects.

The role requires hands-on expertise in Azure ML workloads, Kubernetes, Terraform, and CI/CD with Azure DevOps, along with strong Python skills and a track record mentoring engineers. You will drive reliability and modern MLOps practices.

Qualifications

• 5+ years delivering production ML systems and deployments
• 1+ years of technical leadership mentoring engineers
• Hands-on Azure ML workloads experience
• Strong Python with PyTorch and/or TensorFlow
• Strong CI/CD, testing, automation practices
• IaC with Terraform
• Fluent English (B2+)

Responsibilities

• Lead end-to-end MLOps pipelines for training and deployment
• Build CI/CD workflows for ML services and artifacts using Azure DevOps
• Deploy and operate ML workloads on Azure and Kubernetes
• Implement model lifecycle management, monitoring and alerting
• Mentor engineers and guide technical decisions
• Coordinate cross-functional teams to meet reliability and release goals
• Optimize infrastructure automation and reproducibility with Terraform
• Troubleshoot production issues across platform, pipeline, and runtime layers

Skills

MLOps

Azure

Kubernetes

Python

PyTorch

TensorFlow

CI/CD

Terraform

Model lifecycle

Tools

Azure DevOps

Kubernetes

Terraform

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.