Senior MLOps Platform Engineer
Posted Updated
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 monitoring
- GCP knowledge is a plus
- B2-level English or above
Benefits
- 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