Machine Learning Engineer

Summary

Rockstone Capital is seeking a Machine Learning Engineer to support the development and operation of AI and machine-learning systems. The role focuses on data preparation, model evaluation, system integration, deployment, monitoring, production support, and technical documentation.

Responsibilities

• Build and maintain components used in applied AI or machine-learning workflows
• Create reliable data-preparation and evaluation steps so model behavior can be tested consistently
• Measure output quality and investigate cases where results are inaccurate, unstable, or outside expected behavior
• Assist with deployment, service integration, and production support for AI-enabled systems
• Track operational signals and help diagnose performance or reliability issues after release
• Maintain technical records that make experiments, model changes, and system behavior traceable

Skills

• Practical familiarity with Python, Machine Learning, and Model Evaluation
• Consistent accuracy when working with AI Systems and Data Pipelines
• Clear written communication and disciplined documentation habits
• Ability to manage assigned work, deadlines, and follow-up without making unsupported assumptions
• Comfort coordinating remotely through shared systems and written communication

Qualifications

Must Haves

• Practical familiarity with Python, Machine Learning, and Model Evaluation
• Consistent accuracy when working with AI Systems and Data Pipelines
• Clear written communication and disciplined documentation habits
• Ability to manage assigned work, deadlines, and follow-up without making unsupported assumptions
• Comfort coordinating remotely through shared systems and written communication

Benefits

• Remote work in the United States