Senior MLOps Platform Engineer: Cloud-Native ML Pipelines

EPAM Systems; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems is seeking a Senior MLOps Platform Engineer to help scale ML workloads, migrate systems to the cloud, and boost availability, cost efficiency, and time-to-market for real estate analytics used by a vast user base.

You will own end-to-end ML pipelines, drive training and deployment, and implement Vertex AI, Vertex AI Pipelines, Terraform, and Jenkins for scalable production systems.

Qualifications

• 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.

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

Skills

Python

Cloud infrastructure

MLOps

Model deployment

English communication

Tools

Google Vertex AI

Vertex AI Pipelines

Terraform

Jenkins

Job description

EPAM Systems is seeking a Senior MLOps Platform Engineer to help scale ML workloads, migrate systems to the cloud, and boost availability, cost efficiency, and time-to-market for real estate analytics used by a vast user base.

You will own end-to-end ML pipelines, drive training and deployment, and implement Vertex AI, Vertex AI Pipelines, Terraform, and Jenkins for scalable production systems.