Senior MLOps Engineer (ML Workflows Engineering)

JetBrains(24 days ago)

HybridFull TimeSenior$90,000 - $130,000Machine Learning Infrastructure

About this role

JetBrains is seeking a machine learning infrastructure engineer to design and develop tools, automation, and pipelines that support ML workflows and infrastructure. The role involves working with large-scale distributed systems, supporting ML model development and deployment, and collaborating with cross-functional teams to improve AI productivity.

View Original Listing

Required Skills

Kubernetes
Python
MLops
Distributed Systems
Pipeline
Monitoring
Logging
TensorRT
MLflow
GitHub Actions

About JetBrains

jetbrains.com

JetBrains is a software vendor that builds developer tools and platforms, best known for the IntelliJ IDEA Java IDE and the Kotlin programming language. It offers a family of intelligent, productivity-focused IDEs (including PyCharm, WebStorm, CLion, Rider, PhpStorm, DataGrip and ReSharper) alongside team and DevOps products like TeamCity, YouTrack and Space. JetBrains emphasizes smart code completion, refactorings, deep language support, extensibility via plugins, and increasingly integrates AI-assisted features to speed development. Its products serve individual developers and teams across platforms with both commercial and free/community editions.

View more jobs at JetBrains →