We're looking for a Senior MLOps Platform Engineer to collaborate with a leading company that compiles comprehensive property data and produces analytics driving informed decisions and property insights for a vast user base in real estate.
In this position, you'll contribute to migrating systems to the cloud, which will optimize costs, boost availability and reliability via architectural upgrades, and strengthen analytics and time-to-market.
Responsibilities
Grasp the ML systems lifecycle to enable complete end-to-end delivery
Translate business goals into well-defined ML problems
Create data solutions that align with both business and technical needs
Manage data preparation and processing to get models ready
Spearhead model training and experimentation initiatives
Construct and automate ML pipelines
Launch models into the production environment
Track, fine-tune, and sustain models after deployment
Requirements
Minimum 3 years working as a Cloud Infrastructure Engineer or in a comparable position
Strong command of Python
Deep knowledge of Google Vertex AI and Google Vertex AI Pipelines
Experience working with Terraform and Jenkins
Prior exposure to ML model monitoringGCP knowledge is a plusB2-level English or above
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