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.

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 Dev

OpsDeploy and operate ML workloads on Microsoft Azure and Kubernetes environments

Implement model lifecycle management, monitoring, and alerting for production systems

Harden software engineering practices through testing, automation, and code reviews

Collaborate with ML researchers and data scientists to productionize foundation models

Coordinate cross-functional engineering work to meet reliability and release goals

Optimize infrastructure automation and reproducibility using Terraform

Troubleshoot production issues across platform, pipeline, and runtime layers

Guide technical decisions and mentor engineers to raise team standards

Requirements5+ years of experience delivering production ML systems and model deployments1+ years of technical leadership experience mentoring engineers or leading technical initiatives

Strong hands-on experience with Microsoft Azure for ML workloads

Hands-on experience with Kubernetes and Azure Kubernetes Service (AKS)Project delivery experience coordinating cross-functional teams and priorities

Strong Python skills with PyTorch and/or Tensor





Flow expertise

Strong software engineering practices in testing, code quality, and automation

Hands-on MLOps experience with CI/CD, model lifecycle management, and monitoring

Infrastructure as code experience with TerraformCI/CD platform experience with Azure Dev

OpsStrong collaboration skills working with ML researchers and data scientists

Excellent command of written and spoken English (B2+ level)Nice to have

Azure Kubernetes Service (AKS) expertise for GPU-based workloads

Databricks experience supporting ML platform workflows

Google Cloud Platform knowledge for multi-cloud ML deployments

Distributed training framework experience for large-scale model training

Performance optimization experience for GPU workloads and model inference

We offer

International projects with top brands

Work with general teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM 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.#J-18808-Ljbffr

📌 Lead Microsoft Azure MLOps Engineer (Chile)
🏢 EPAM Systems
📍 Chile