ML Platform Engineer: Production ML & LLM Infra

CodeGeniusRecruit; United States; On-site; USD 96,000 - 138,000; Part time

Job summary

CodeGeniusRecruit in the United States is seeking a skilled machine learning engineer to take on sprint-based tasks that run in 12-24 hour stretches. You will build and evaluate production ML components, using coding agents to drive model deployment, training, inference, and MLOps across real-world systems.

You will review model-generated code, identify bugs and performance issues, compare outputs from multiple models, and apply practical engineering judgment to tradeoffs.

Qualifications

• Strong experience in machine learning engineering.
• Experience building production ML systems and deployment infra.
• Experience with LLM applications and intelligent software.
• Familiar with coding agents and productivity tools.
• Ability to evaluate model-generated ML implementations and tradeoffs.

Responsibilities

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

Skills

ML engineering

Production ML

Model deployment

LLM apps

Coding agents

Developer tools

Job description

CodeGeniusRecruit in the United States is seeking a skilled machine learning engineer to take on sprint-based tasks that run in 12-24 hour stretches. You will build and evaluate production ML components, using coding agents to drive model deployment, training, inference, and MLOps across real-world systems.

You will review model-generated code, identify bugs and performance issues, compare outputs from multiple models, and apply practical engineering judgment to tradeoffs.