Machine Learning Workflow Engineer
Core
Building mature ML research and deploy pipelines, implementing feature/model stores, and managing CI/CD for ML.
Role type
Machine Learning Workflow Engineer (MLOps)
Builds
ML research and deployment pipelines, feature and model stores, CI/CD systems
Domain
Machine Learning Operations (MLOps)
Deliverable
infrastructure
Required skills
MLOps best practices, software engineering, model serving, job dependency graph management, validation and monitoring
Preferred skills
Architecture design, end-to-end ownership, technical influence
Technologies
None explicitly stated
Responsibilities
Implement feature and model stores, version features/data/models, improve inference compute utilization, manage CI/CD for ML, fit models with complex job dependency graphs, ensure production robustness
Seniority
Mid-level, hands-on IC
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