AWS MLOps Engineer

Job Summary

Seeking an AWS MLOps Engineer, the full-time position will manage the ML lifecycle, including model deployment and monitoring, while working remotely and requiring expertise in AWS services and MLOps tools.

Key responsibilities

• Oversee the training, evaluation, and deployment of ML models in production environments
• Implement CI/CD processes for model versioning and lifecycle management using tools like MLflow and GitHub Actions
• Monitor model performance and metrics to ensure optimal functionality in cloud-based systems

Required qualifications

• 2+ years of experience in MLOps, including ML lifecycle management and model deployment
• Proficiency in AWS services such as Amazon ECS, ECR, and API Gateway
• Experience with Python and relevant ML libraries
• 1+ year of experience in backend development, including REST API development and SQL
• Familiarity with FastAPI and PostgreSQL is preferred