Senior Machine Learning Engineer

Job Summary

Owning the full machine learning lifecycle, the full-time Senior Machine Learning Engineer will design and implement data pipelines, optimize models, and collaborate with cross-functional teams to create reliable production ML systems in a remote work environment.

Key responsibilities

• Own the full ML lifecycle, including feature pipelines, training workflows, model deployment, and monitoring
• Design and build reliable data and feature pipelines that support reproducible training and consistent features
• Collaborate with data scientists and software engineers to operationalize models and ensure smooth integration into production services

Required qualifications

• 5+ years of professional experience in machine learning engineering, software engineering, or data engineering
• Fluency with Python and SQL, and proven experience designing and operating data pipelines at scale
• Hands-on experience deploying and maintaining machine learning models in production environments
• Experience working in cloud environments, particularly AWS
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn