lever
MLOps Field Engineer
jobgether
Remote, CAN
Full-time
Remote
Discovered 1 weeks ago
MLOpsAI and machine learning infrastructureLinuxKubernetesPythonCloud computing
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Role Overview
The partner company is seeking an MLOps Field Engineer based in Canada.
The role supports organizations adopting modern AI and machine learning technologies across public and private cloud environments.
The work combines technical consulting, solution architecture, customer engagement, and hands-on implementation rather than traditional software development.
The role addresses distributed training, large-scale data processing, real-time analytics, and high-performance AI workloads.
Key Skills for This Role
MLOpsAI and machine learning infrastructureLinuxKubernetesPythonCloud computing
Full Job Posting
Role overview
The partner company is seeking an MLOps Field Engineer based in Canada.
The role supports organizations adopting modern AI and machine learning technologies across public and private cloud environments.
The work combines technical consulting, solution architecture, customer engagement, and hands-on implementation rather than traditional software development.
The role addresses distributed training, large-scale data processing, real-time analytics, and high-performance AI workloads.
Accountabilities
- Architect cloud infrastructure and AI or machine learning solutions using Kubernetes, Kubeflow, OpenStack, Spark, and public cloud platforms.
- Work across Linux networking, storage, infrastructure, virtualization, containers, and applications.
- Design and deliver solutions for on-premises environments and AWS, Azure, or Google Cloud.
- Gather customer requirements and recommend practical open-source technologies and infrastructure solutions.
- Deploy, test, validate, and hand over technical solutions to support or managed services teams.
- Deliver technical presentations, demonstrations, architecture discussions, and customer training.
- Collaborate with sales teams on customer solutions and shared commercial objectives.
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