Machine Learning Infrastructure Engineer (AWS)

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