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