Senior MLOps Engineer - Remote

Overview

The Senior MLOps Engineer plays a critical role in ensuring the seamless integration, deployment, monitoring, and scaling of machine learning models into production.

In Short

• Design and architect the AI/ML models platform for efficient workflows.
• Build and manage infrastructure for machine learning model deployment.
• Develop MLOps systems using AWS Sagemaker, MLFlow, and more.
• Implement CI/CD pipelines for automated model deployment.
• Ensure model scalability for real-time predictions.
• Set up monitoring solutions for model performance.
• Promote best practices in MLOps.
• Provide technical leadership and mentorship to engineers.
• Collaborate with global engineering teams for integration.
• Stay updated on MLOps trends and technologies.

Requirements

• Experience in MLOps and machine learning deployment.
• Proficient in AWS services and containerization tools.
• Strong understanding of CI/CD practices.
• Knowledge of monitoring tools like DataDog and Cloudwatch.
• Ability to lead and mentor a team.
• Experience collaborating with data scientists and product managers.
• Strong problem-solving skills.
• Excellent communication skills.
• Familiarity with the latest MLOps trends.

Benefits

• Supportive and collaborative work culture.
• Opportunities for professional development.
• Work with cutting-edge technologies.
• Contribute to impactful projects.
• Flexible work arrangements.