About The Role
Canonical, the company behind Ubuntu, is a leading open‑source software provider enabling enterprises to adopt AI/ML solutions. As an MLOps Field Engineer you will design and present scalable ML architectures, guide customers through proof‑of‑concepts, and drive adoption of Ubuntu‑based MLOps platforms across cloud and on‑prem environments. You will collaborate with global sales teams, provide technical training, and troubleshoot complex data pipelines, ensuring customers achieve operational excellence with open‑source tools.
Responsibilities
Requirements
- Strong Linux administration and Kubernetes orchestration skills.
- Hands‑on experience with Kubeflow, MLflow, Feast or DVC.
- Proficiency in at least one public cloud (AWS, GCP or Azure).
- Excellent communication and presales presentation abilities.
- Bachelor’s degree in Computer Science/Engineering with 2‑4 years of relevant experience.
Eligibility Checklist
B.Tech/M.Tech/MCA
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Direct & Secure Recruitment Redirection
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