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MLOps Engineer
About the role
Design inference serving, training pipelines, and CI/CD for machine-learning systems in production, preferably on Azure.
What you'll do
- Design and operate scalable inference and serving systems for ML workloads
- Design and maintain automated data, training, and inference pipelines
- Build CI/CD for testing, validation, and deployment of ML systems
- Monitor deployed APIs and build observability for model and infrastructure health
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Proficient in Python and software architecture
- Cloud experience, preferably Azure, and Docker
- Proven experience deploying and managing ML models in production
About Arrise
ARRISE builds software and services for the iGaming industry and employs more than 2,500 people.
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