MLOps Engineer: Production ML Pipelines & Cloud Enablement

EPAM Systems; Colombia; Remote; COP 60,000,000 - 110,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems is seeking an MLOps Engineer to join a major real estate analytics company. You will streamline ML pipelines, deploy models to production, and monitor performance in a cloud-based environment.

The role focuses on ML lifecycle management, data preparation, model training, and automation using Vertex AI, Kubeflow, and Kubernetes. Collaboration with global teams and ongoing upskilling are core benefits.

Qualifications

• 2+ years in an MLOps or similar role.
• Proficiency in Python.
• Experience with Google Vertex AI and Vertex AI Pipelines.
• Monitoring ML models in production.
• Experience with GCP, Ansible and Terraform.
• Familiarity with Kubeflow and Kubernetes.
• English proficiency at B1+ level or above.

Responsibilities

• Understand and manage the ML systems lifecycle.
• Frame ML problems based on business objectives.
• Design data solutions tailored to the problem.
• Perform data preparation and processing.
• Conduct model training and experimentation.
• Build and automate ML pipelines.
• Deploy models to production system.
• Monitor, optimize, and maintain models in production.

Skills

Python

ML lifecycle management

Cloud platforms experience

English communication

Tools

Jenkins

Docker

Kubeflow

Kubernetes

Groovy

JetBrains PyCharm

Terraform

Ansible

Job description

EPAM Systems is seeking an MLOps Engineer to join a major real estate analytics company. You will streamline ML pipelines, deploy models to production, and monitor performance in a cloud-based environment.

The role focuses on ML lifecycle management, data preparation, model training, and automation using Vertex AI, Kubeflow, and Kubernetes. Collaboration with global teams and ongoing upskilling are core benefits.