We are seeking an MLOps Platform Engineer to work with a major company that aggregates broad and deep property data and generates analytics that inform smart decision-making and property-level insights for hundreds of thousands of users in the real estate industry.
This role will help transform systems to the cloud, enabling cost optimization, improved availability and reliability through architectural improvements, and enhanced analytics and TTM.
Responsibilities
Understand the ML systems lifecycle to support end-to-end delivery
Frame ML problems from business objectives
Develop data solutions tailored to business and technical requirements
Handle data preparation and processing for model readiness
Lead model training and experimentation efforts
Build and automate ML pipelines
Deploy models to the production system
Monitor, optimize, and maintain models post-deployment
Requirements2+ years of experience as a Cloud Infrastructure Engineer or similar role
Proficiency in Python
Expertise in Google Vertex AI and Google Vertex AI Pipelines
Familiarity with Terraform and Jenkins
Background in monitoring ML models
Knowledge of GCP is preferable
English proficiency at B2 level or higher
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
📌 MLOps Platform Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia
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