ML Engineer – AI

ConnectHum

ML Engineer developing evaluation and monitoring systems for AI models in a global consulting company. Collaborating with experts to ensure model safety and performance across applications.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Build and scale automated evaluation systems for AI models.
Develop and train automated “judge” models to assess AI outputs.
Design validation frameworks to ensure accuracy and reliability across languages.
Create synthetic data pipelines to improve evaluation coverage.
Build scalable analysis and reporting systems for AI performance.
Work closely with language experts and cross-functional teams.

Requirements

What you’ll need

3+ years of experience in ML engineering or applied ML research.
Experience training, fine-tuning, and evaluating language models or classifiers.
Experience building data pipelines and automated evaluation or monitoring systems.
Strong understanding of experimentation and statistical validation
Fluent English.

Benefits

Comp & perks

Competitive compensation
Comprehensive health coverage
Top-tier hardware & tools
Budget for learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning engineeringautomated evaluation systemstraining language modelsfine-tuning classifiersdata pipelinesstatistical validationsynthetic data generationAI model assessmentvalidation frameworksperformance analysis

Soft Skills

collaborationcommunicationcross-functional teamworkproblem-solvingattention to detail