MLOps Platform Engineer

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

Requirements

• 2+ 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 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 LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM 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.