About the role
TL;DR
Design and implement MLOps solutions for global enterprises.
- •Canonical is seeking an MLOps Field Engineer to assist global companies in adopting AI/ML solutions.
- •This role focuses on designing ML architectures for external customers using open-source capabilities on cloud infrastructure.
- •Key Responsibilities Design ML architectures for external customers.
- •Work with technologies like Ubuntu, Kubeflow, MLFlow, and Feast.
- •Architect cloud infrastructure solutions including Kubernetes and OpenStack.
- •Deliver presentations and demonstrations of AI/ML capabilities to clients.
- •Collaborate with enterprise sales leads to achieve targets.
- •Requirements Experience in data engineering, MLOps, or big data solutions deployment.
- •Practical knowledge of Linux, virtualization, containers, and networking.
- •Knowledge of cloud computing concepts and leaders (Kubernetes, AWS, Azure, GCP).
- •Intermediate level Python programming skills.
- •Business-minded technology thinker and problem solver.
Required skills
PythonLinuxKubernetesMLflowKubeflowAWSAzureGoogle Cloud
Nice-to-have skills
RRustSpark
Domain expertise
aideveloper-tools
Benefits & perks
Performance-driven annual bonus or commission, Personal learning and development budget, Annual compensation review, Recognition rewards, 40 days annual leave, Maternity and paternity leave, Team Member Assistance Program & Wellness Platform, Opportunity to travel to new locations to meet colleagues, Priority Pass and travel upgrades for long-haul company events
Tech stack
PythonLinuxKubernetesMLflowKubeflowAWSAzureGoogle CloudSparkBashRRust