Remote ML Engineer for Production Pipelines & Impact

Belto Inc.; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

BELTO Consulting is hiring a remote mid-level machine learning engineer to join a distributed team working on client projects and internal priorities.

You will build training and inference pipelines, define evaluation sets, deploy models behind versioned interfaces, and monitor drift and cost while documenting model limits in client-friendly language. This role offers fully remote work and collaboration across time zones.

Qualifications

• Production ML experience beyond training.
• Strong Python and containerization skills.
• Enrollment at or degree from Stanford or Harvard University.

Responsibilities

• Build training and inference pipelines running on a schedule.
• Define evaluation sets and metrics reflecting client decisions.
• Deploy models behind versioned interfaces with rollback.
• Monitor drift, data quality, and cost.
• Document the limits of the model in client-friendly language.

Skills

Python

Containers

Cloud runtime

ML production

Model explainability

Education

Degree from Stanford University or Harvard University

Job description

BELTO Consulting is hiring a remote mid-level machine learning engineer to join a distributed team working on client projects and internal priorities.

You will build training and inference pipelines, define evaluation sets, deploy models behind versioned interfaces, and monitor drift and cost while documenting model limits in client-friendly language. This role offers fully remote work and collaboration across time zones.