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EEOC

MLOps Engineer

EEOC

. train, test, deploy, and maintain models that learn from data .

Posted 5/7/2026full-timeSan Antonio • Texas, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $77,500 - $176,000 per yearWebsite

Tech Stack

Tools & technologies
CloudDockerKubernetes

About the role

Key responsibilities & impact
  • train, test, deploy, and maintain models that learn from data
  • lead the direction of critical solutions by applying best-fit ML algorithms
  • collaborate with AI software engineers, DevSecOps, and Data Engineers
  • guide clients as they navigate the landscape of ML algorithms, tools, and frameworks

Requirements

What you’ll need
  • Experience deploying production grade ML models onto cloud environments
  • Experience in managing ML workloads to design elastic infrastructure
  • Knowledge of MLOps Frameworks and Container Systems, such as Kubernetes or Docker
  • Bachelor's degree in Computer Science or Software Engineering

Benefits

Comp & perks
  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care awards for exceptional performance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningMLOpscloud environmentsproduction grade modelselastic infrastructureKubernetesDocker
Soft Skills
collaborationleadershipguidance
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering