About the Role
Join the team as an Expert DevOps Engineer, specializing in Kubernetes and automation for machine learning projects. Collaborate with top scientists to optimize scalable data systems.
As a candidate for this position, you should have a minimum of five years building automated infrastructure. Strong experience in Linux administration and familiarity with cloud environments such as Azure or AWS are essential. Your role will be pivotal in developing, monitoring, and upgrading machine learning pipelines.
Key Responsibilities:
• Automate data workflows and machine learning pipelines
• Ensure efficient CI/CD management and tooling
• Optimize large-scale computation and monitoring systems
• Facilitate communication across teams effectively
• Handle upgrades and system performance tuning
Requirements:
• 5+ years of relevant infrastructure experience
• Extensive knowledge of Kubernetes and Docker
• Strong scripting abilities in Bash or Python
• Familiar with ...
As a candidate for this position, you should have a minimum of five years building automated infrastructure. Strong experience in Linux administration and familiarity with cloud environments such as Azure or AWS are essential. Your role will be pivotal in developing, monitoring, and upgrading machine learning pipelines.
Key Responsibilities:
• Automate data workflows and machine learning pipelines
• Ensure efficient CI/CD management and tooling
• Optimize large-scale computation and monitoring systems
• Facilitate communication across teams effectively
• Handle upgrades and system performance tuning
Requirements:
• 5+ years of relevant infrastructure experience
• Extensive knowledge of Kubernetes and Docker
• Strong scripting abilities in Bash or Python
• Familiar with ...
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