We are seeking an MLOps Engineer to join a major company that aggregates broad and deep property data and generates analytics informing smart decision-making and property-level insights relied upon by hundreds of thousands of users in the real estate industry.

In this role, you will help transform systems to the cloud, enabling cost optimization, improved availability and reliability through architectural improvements, and enhanced analytics with better TTM.

You will focus on streamlining the process of taking machine learning models to production, as well as maintaining and monitoring them.

Responsibilities

Understand and manage the ML systems lifecycle

Frame ML problems based on business objectives

Design data solutions tailored to the problem at hand

Perform data preparation and processing

Conduct model training and experimentation

Build and automate ML pipelines

Deploy models to the production system

Monitor, optimize, and maintain models in production

Requirements2+ years of experience in an MLOps or similar role

Proficiency in Python

Expertise in Google Vertex AI and Google Vertex AI Pipelines

Skills in monitoring ML models in production

Familiarity with Jenkins and Docker

English proficiency at B1+ level or above





Nice to have

Background in AI Solution Engineering and Prompt Engineering

Knowledge of Agentic SDKs and Google Agent Development Kit

Experience with Google Cloud Platform, Ansible, and Terraform

Familiarity with Kubeflow and Kubernetes

Proficiency in Groovy and Jet

Brains PyCharm

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

Integral 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

📌 MLOps Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia