MLOps Field Engineer
Home based - Worldwide
R
USD 53K-119K (estimate) Mid-level Full Time
Tasks
- Collect customer business requirements
- Deliver presentations and demonstrations
- Deploy and test cloud solutions
- Design AI ML architectures for customers
- Develop Kubernetes operators and infrastructure as code
- Liaise with product teams on requirements
- Travel for customer and internal meetings
- Work with sales to reach targets
Perks/Benefits
- Annual holiday leave
- Distributed work environment
- Learning and development budget
- Maternity leave
- Paternity leave
- Priority Pass
- Recognition rewards
- Travel opportunities
- Wellness platform
Skills/Tech-stack
AWS | Cloud platform | Containers | DVC | Data Engineering | Distributed Training | Django | Event Processing | Feast | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | LLM | Linux | MLOps | MLflow | Machine Learning | Microsoft Azure | Networking | NoSQL | OpenStack | Python | SQL | Spark | Ubuntu | Ubuntu Pro | Virtualization | “as-code”
Education
Roles
Architect | Engineer | Field Engineer | MLOps Field Engineer | Solutions Architect
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