MLOps Engineer — Cloud Pipelines & Production AI

EPAM Systems; United States; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

EPAM Systems is seeking an MLOps Engineer to help transform systems to the cloud, optimize costs, and improve availability and analytics. You will focus on bringing ML models to production, maintaining them, and monitoring performance.

Responsibilities include managing ML lifecycle, framing problems from business objectives, designing data solutions, and deploying scalable ML pipelines using Vertex AI, Kubeflow, and related tools.

Qualifications

• 2+ years of experience in an MLOps or similar role.
• Proficiency in Python.
• Expertise in Google Vertex AI and Google Vertex AI Pipelines.
• Skills in monitoring ML models in production.
• Familiarity with Jenkins and Docker.
• English proficiency at B1+ level or above.

Responsabilités

• Understand and manage the ML systems lifecycle
• Frame ML problems based on business objectives
• Design data solutions tailored to the problem at hand
• Perform data preparation and processing
• Conduct model training and experimentation
• Build and automate ML pipelines
• Deploy models to the production system
• Monitor, optimize, and maintain models in production

Connaissances

Python

MLOps

Model monitoring

Vertex AI

Vertex AI Pipelines

English B1+

Outils

Jenkins

Docker

Kubeflow

Kubernetes

Groovy

JetBrains PyCharm

Ansible

Terraform

Google Cloud Platform

Description du poste

EPAM Systems is seeking an MLOps Engineer to help transform systems to the cloud, optimize costs, and improve availability and analytics. You will focus on bringing ML models to production, maintaining them, and monitoring performance.

Responsibilities include managing ML lifecycle, framing problems from business objectives, designing data solutions, and deploying scalable ML pipelines using Vertex AI, Kubeflow, and related tools.