Skill
Kubeflow
Data Science, Analytics and AI/ML
Kubeflow is an open-source platform for deploying and managing machine learning workflows on Kubernetes, covering steps like data preparation, model training, tuning, and serving. Data scientists and ML engineers use it to build portable, scalable ML pipelines across cloud and on-premises infrastructure.
Kubeflow in the job market
Last checked November 5, 2026
- Open roles
- 6
- Employers
- 5
- Median pay
- —
- Disclose pay
- —
on Career App
hiring for it
not enough disclosed
of these roles
Open roles requiring Kubeflow (6)
Senior Software Engineer, AI/ML Platform
Agility Robotics
Full-time · Remote · $197,000 – $307,000
Build the ML infrastructure and platform layer that powers Agility's fleet of humanoid robots, architecting systems for data collection, model training, evaluation, and deployment at scale. This role suits senior engineers with hands-on MLOps and cloud platform experience who want to directly enable production AI systems in robotics.
Listed on Agility Robotics’s careers site · Apply there ↗
MLOps Engineer
Accenture
€1,400 – €3,400 / month
Accenture is hiring an engineer to design and deploy machine learning systems on cloud platforms, managing the full production lifecycle from model training through monitoring. This role suits someone with cloud and containerization expertise who can bridge data science and operations teams.
Listed on Accenture’s careers site · Apply there ↗
Data Scientist
Levi Strauss & Co.
Full-time · €60,500 – €80,700
This role involves building machine learning and analytics solutions to optimize pricing, promotions, and business processes for a major retail company. It suits data scientists with commercial experience who can translate stakeholder needs into production models and communicate insights across technical and business audiences.
Listed on Levi Strauss & Co.’s careers site · Apply there ↗
Senior Solutions Engineer
Crusoe
Full-time · New York, NY · $155,000 – $200,000
This role involves helping enterprise customers successfully deploy AI and machine learning workloads on Crusoe's GPU infrastructure, moving from technical discovery through proof-of-concept to production launch. It's suited to cloud infrastructure engineers who want customer-facing technical responsibility and hands-on ownership of AI infrastructure challenges.
Listed on Crusoe’s careers site · Apply there ↗
Platform Engineer, Model Shaping
Together AI
Full-time · San Francisco, CA · $200,000 – $290,000
A backend and infrastructure engineer role building scalable systems for model customization and evaluation at an AI platform company. This suits engineers with strong Kubernetes and Linux production experience who enjoy working across the full stack from cluster operations to service development.
Listed on Together AI’s careers site · Apply there ↗
Senior Staff Solutions Engineer (NYC)
Crusoe
Denver, CO · $175,000 – $250,000
Crusoe seeks a senior solutions engineer to help enterprise customers deploy AI/ML workloads on their GPU infrastructure, serving as the technical bridge between customers and the engineering team. The role combines hands-on infrastructure work—building and optimizing Kubernetes-based systems—with customer engagement, technical storytelling, and feedback that shapes the platform.
Listed on Crusoe’s careers site · Apply there ↗
Asked for alongside Kubeflow
Measured from the 6 open roles that name Kubeflow — not from a curated list.
- Amazon Web Services (AWS)6 roles100.0%
- Kubernetes5 roles83.3%
- Microsoft Azure5 roles83.3%
- Python5 roles83.3%
- Apache Airflow4 roles66.7%
- Linux4 roles66.7%
- Terraform4 roles66.7%
- Docker3 roles50.0%
Roles that use Kubeflow
Employers hiring for Kubeflow
5 in total, most open roles first.
- CCrusoe2 roles
- AAccenture1 role
- ARAgility Robotics1 role
- Levi Strauss & Co.1 role
- TATogether AI1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.