MLOps Engineer - Remote

Overview

An MLOps Engineer responsible for building and optimizing machine learning pipelines, ensuring data quality, and automating model retraining and validation.

In Short

• Design and build ELT pipelines for efficient data processing and analysis.
• Construct automated MLOps pipelines for continuous model retraining and validation.
• Implement CI/CD pipelines for smooth deployment of machine learning models and services.
• Develop services to monitor performance and health of machine learning models in production.
• Collaborate with cross-functional teams to optimize model performance and data quality.

Requirements

• Deep understanding of Python and MLOps principles.
• Attention to detail and problem-solving skills.

Benefits

• Opportunity to work with advanced technologies.
• Contribute to the company’s ML operations.