Xenon Seven
11 - 50 employees
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.
DevOps Engineer, Sagemaker
🕒 July 3
🌐 Poland, Serbia, +4 more countries – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
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Xenon Seven
11 - 50 employees
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.
📋 Description
• Build DevOps automations to setup Sagemaker Unified Studio for enterprise • Implement Sagemaker Lifecycle configurations • Create CICD pipelines for end-users to deploy custom Docker images & Kernels in Sagemaker • Build alert & monitoring capabilities for Sagemaker projects to control costs and service quotas • MLOps automations for model and infrastructure deployments to higher environments
🎯 Requirements
• From 6+ years of experience in a relevant role • Expert level in AWS and Python • Working knowledge with Sagemaker • Experience building DevOps automations for enterprise • Preferred to have experience building Jenkins pipelines • Preferred to have experience with MLOps automations
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