[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. 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
Benefits
- Remote work in the United States
Company Overview