Field Engineer Focused MLOps and Data Architecture Solutions
Canonical
About the role
Position
Field Engineer Focused on MLOps and Data Architecture Solutions
About
Join a global team as an MLOps Field Engineer driving AI solutions. Work directly with customers, utilizing open-source technologies to enhance their cloud infrastructure and data capabilities.
This position is ideal for technically skilled professionals with a business mindset. You will be responsible for designing cloud architectures tailored to enterprise needs while collaborating with sales teams. The goal is to facilitate the adoption of machine learning and data technologies such as MLflow and Feast in real‑world applications.
Key Responsibilities
- Architect Kubernetes and data processing solutions
- Deploy and test technology for effective handover
- Collect and analyze customer requirements
- Conduct presentations of solutions for client engagement
- Support the sales team to meet objectives
Requirements
- Undergraduate degree in a technical field
- Experience in MLOps or big data solutions
- Intermediate Python programming capabilities
- Practical knowledge of cloud concepts
- Willingness to travel for customer visits
Impact
Drive impactful AI transformations for enterprises by providing innovative solutions that address complex challenges.
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Requirements
- Experience in MLOps or big data solutions
- Intermediate Python programming capabilities
- Practical knowledge of cloud concepts
- Willingness to travel for customer visits
Responsibilities
- Architect Kubernetes and data processing solutions
- Deploy and test technology for effective handover
- Collect and analyze customer requirements
- Conduct presentations of solutions for client engagement
- Support the sales team to meet objectives
Skills
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