Senior MLOps Engineer - Remote

Overview

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Poland, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.

In Short

• Hands-on MLOps Engineer role in the Data & AI team.
• Build and scale MLOps platform for end-to-end machine learning.
• Automate ML workflows and streamline CI/CD pipelines.
• Productionise LLM use cases and ensure observability.
• Work collaboratively with ML Engineers and cross-functional teams.
• Monitor API endpoints for model inference.
• Implement monitoring tooling for model performance tracking.
• 5+ years of experience in MLOps or software development.
• Experience with Kubernetes, Docker, and Argo Workflows.
• Flexible work-from-home policies and competitive perks.

Requirements

• 5+ years of experience in MLOps engineering or software development.
• Experience deploying and managing ML services on Kubernetes.
• Ability to design and manage Docker containers for ML workloads.
• Hands-on experience with Argo Workflows for ML pipelines.
• GitOps experience for pipeline automation.
• Knowledge of hosting and managing on-prem LLMs.

Benefits

• Continuing education opportunities.
• Flexible PTO and work-from-home policies.
• Private medical care (can be extended to family).
• Cafeteria system as part of the Benefit platform.
• Group life insurance.
• Creative TAX-deductible costs.
• Other location-specific perks.