MLOps Engineer | Remote

Type: Hourly Contract
Location: Remote
Commitment: Sprint-based project running in 12–24 hour stretches based on project requirements
Commission: $85/hour (Typical accepted tasks pay approximately $400 and take 2–3 hours after ramp-up)

Responsibilities

• Complete and evaluate complex machine learning engineering tasks using coding agents.
• Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
• Identify bugs, edge cases, performance issues, and system failure modes.
• Compare outputs from multiple models and assess strengths and weaknesses.
• Apply engineering judgment to real-world machine learning engineering scenarios.

Requirements

• Strong experience in machine learning engineering.
• Strong experience building production ML systems, model deployment infrastructure, LLM applications, or intelligent software products.
• Strong experience using coding agents and developer productivity tools.
• Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
• Strong experience deploying machine learning systems to production environments.

Pay

$85/hour

Schedule

Sprint-based project running in 12–24 hour stretches based on project requirements