Machine Learning Engineer

Job Summary

To design, deploy, and operate production ML systems on Amazon Web Services, the full-time Machine Learning Engineer will manage the full lifecycle of ML services, collaborating with data scientists and engineers to create reliable solutions in a remote environment.

Key responsibilities

• Build and maintain reproducible model training workflows on AWS, ensuring routine retraining and experimentation
• Deploy and operate real-time and batch inference services with full CI/CD pipelines and safe rollout strategies
• Instrument production models for performance and automate retraining triggers based on data drift and errors

Required qualifications

• 3+ years of experience in machine learning engineering, MLOps, or a related discipline
• Hands-on experience with AWS ML services such as SageMaker, S3, and Lambda
• Strong Python skills and familiarity with ML frameworks like scikit-learn and PyTorch
• Experience building and maintaining CI/CD pipelines for ML systems
• Comfort with SQL and working with structured data at scale