We are seeking a Senior Azure MLOps Engineer to join our team and help deploy and operate ML and foundation models reliably in production on cloud infrastructure.

You will collaborate with researchers, data scientists, and engineers to build robust pipelines, automation, and monitoring.

Apply to help shape scalable AI delivery!
Responsibilities

Design production-grade MLOps pipelines for training, deployment, and monitoring

Build CI/CD workflows for model packaging, validation, and rollout

Deploy ML and foundation models on Microsoft Azure and Kubernetes platforms

Implement model lifecycle management practices across versioning and promotion stages

Develop monitoring and alerting for model performance, drift, and service health

Automate testing and quality gates for ML code and pipelines

Collaborate with data scientists and researchers to operationalize experiments

Optimize ML deployment performance and reliability for production workloads

Coordinate cross-functional delivery with platform and engineering teams

Maintain infrastructure as code to enable reproducible environments

Troubleshoot production issues across pipelines, services, and runtime dependencies

Requirements3+ years of experience deploying ML models to production environments

Hands-on experience with Microsoft Azure for ML workloads

Strong experience building MLOps pipelines with CI/CD and model lifecycle management





Production project experience operating ML services with monitoring and incident response practices

Strong Python skills with PyTorch and/or Tensor

Flow expertise

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

Strong collaboration skills working with ML researchers and cross-functional teams

Azure Dev

Ops experience supporting CI/CD workflows

Terraform experience managing infrastructure as code

Upper-Intermediate English level (B2)Nice to have

Azure Kubernetes Service (AKS) experience running ML workloads

Databricks experience supporting ML pipelines or feature workflows

Google Cloud Platform experience with ML services or infrastructure

We offer

International projects with top brands

Work with global 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

General 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

📌 Senior Azure MLOps Engineer (Chile)
🏢 EPAM Systems
📍 Chile