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19/10/2025
תל אביב
Millennium
This role is a member of the AI/ML Infrastructure Engineering team and will be dedicated to implementing and supporting AI/ML infrastructure solutions in cloud and on-premise environments. The role will work directly with infrastructure teams and potentially face off with data scientists, machine learning engineers, application developers, and quantitative analysts by functioning as both a solutions architect, helping them implement their own AI/ML solutions, and as a professional services engineer, implementing solutions for them in cloud environments such as AWS, GCP, and Kubernetes.
This is a hands-on developer role and candidates ideally have had experience deploying and supporting their own production-ready AI/ML models in cloud environments as well as automating the build and management of a broad range of cloud infrastructure using tools like Terraform. Candidates should be familiar with developing unit and functional tests, have experience designing and implementing CI/CD tools with infrastructure as code pipelines, and have knowledge of Linux systems administration, containerization, networking, security, automated configuration and state management, cross-system orchestration, configuration management, logging, metrics, monitoring, and alerting.
Principal Responsibilities
Required Qualifications/Skills
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