Machine Learning Ops Engineer
Weave
Overview
Role involves designing and developing machine learning infrastructure and tooling for AI-powered applications.
Ideal candidate should have 5+ years of experience in back-end languages and expertise in MLOps technologies.
remoteseniorpermanentfull-timeEnglishPythonJupyterMLFlowKubeflowPostgresKubernetes
Locations
Requirements
5+ years experience in back-end language Experience with MLOps technologies Understanding of distributed systems Experience with public cloud solutions Experience with data labeling for audio or NLP Strong collaboration skills Self-driven and eager to learn Demonstrated track record of delivering complex projects
Responsibilities
Design and develop machine learning infrastructure Help teams understand data lifecycle Build internal products for AI integration Consult with teams on machine learning patterns Build scalable services for data integration Contribute to product functionality evolution Write high-quality, testable code Coach and collaborate with team members