MidHigh Growth growth
MLOps Engineer
Operationalize machine learning at scale
$120,000 – $195,000/yrBuild pipelines for training, deploying, and monitoring ML models in production.
Highlights
Common tasks
Automate model training, manage feature stores, and monitor model drift.
Potential downsides
Glue work between data science and engineering, and blame when models fail silently.
Skills
CodingCreativityProblem solvingSystems thinkingData analysis
Interests
TechnologyBuilding productsScience
Industries
Tech
Work style
TechnicalCreativeAnalyticalCollaborative
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