Machine Learning Infrastructure Engineer (AWS)

skfai · yokneam

Description We are looking for a Machine Learning Infrastructure Engineer (AWS) to join our AI Development Center in Yokneam. In this role, you will build and operate the production infrastructure powering our AI systems , enabling scalable and reliable AI solutions used by hundreds of industrial customers worldwide. You will work at the intersection of cloud infrastructure, backend engineering, and machine learning , collaborating closely with data scientists and product teams to bring models into real-world production environments. This is a hands-on engineering role with strong ownership, focused on designing and maintaining cloud-native systems on AWS that are robust, scalable, and production-grade. Requirements Strong hands-on experience working with AWS in production environments Experience building and operating cloud-based or distributed systems Proficiency in Python and/or backend development Experience with Docker and Kubernetes (EKS preferred) Familiarity with CI/CD pipelines and DevOps practices Understanding of system design, scalability, and reliability principles Strong problem-solving skills and ability to work in a collaborative environment Experience with ML systems, pipelines, or model deployment Familiarity with MLOps practices Experience with infrastructure-as-code tools (Terraform, CloudFormation) Knowledge of monitoring and observability tools

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