We are seeking a DevOps Engineer with expertise in Kubernetes and MLOps to join our Data Platforms team. The successful candidate will design, build, and support Machine Learning platforms to deliver AI capabilities. This is a fully remote opportunity.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
DevOps Engineer - Kubernetes - Fully Remote
Our client is a leading tech consultancy and software development firm.
Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire a DevOps Engineer with excellent knowledge of Kubernetes. and, ideally, some MLOps skills.
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You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities.
Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes.
You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security.
Requirements:
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- Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc
- Strong DevOps experience, esp with Kubernetes
- MLOps exp would be ideal
- Coding / scripting skills
- Good, overall, understanding of software development, modern tech and frameworks
- Solid Linux knowledge can't hurt!
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