Machine Learning Engineer

Job Summary

To support the analytics strategy, the full-time remote Machine Learning Engineer will design, deploy, and operate production ML systems on Amazon Web Services, managing the full lifecycle from training to monitoring and retraining.

Key responsibilities

• Build and maintain reproducible model training workflows on AWS, facilitating routine retraining and experimentation
• Deploy and operate real-time and batch inference services with CI/CD pipelines and safe rollout strategies
• Collaborate with cross-functional teams to translate business problems into effective ML solutions and iterate based on feedback

Required qualifications

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