Top Machine Learning Jobs in Israel

Looking for a Senior Backend Engineer to design scalable systems, drive architectural leadership, and integrate AI solutions while mentoring junior engineers.

Support and maintain production ML systems: monitor performance, automate MLOps pipelines, troubleshoot production workflows, build and maintain features and monitoring tools, perform EDA, and ensure model explainability and reliability across deployments.

Maintain and scale production ML systems: monitor model performance and explainability, automate retraining and MLOps pipelines, troubleshoot production workflows, build and maintain feature and monitoring repositories, perform EDA on historical time-series data, and support internal tooling for reliable, explainable, production-ready ML.

The Senior Machine Learning Engineer will own critical ML subsystems, build and ship ML systems, debug production issues, and mentor other engineers. Responsibilities include collaborating cross-functionally, iterating on ML systems based on real-world signals, and ensuring high reliability and efficiency targets are met.

Design, build, and scale a cloud-native ML platform and AI agents. Own end-to-end ML lifecycle (training, testing, deployment, monitoring), architect Kubernetes microservices with infrastructure-as-code, ensure production reliability and performance, and collaborate with engineering, data science, and product teams to align ML projects with business goals.

The Data Scientist will lead the development of AI-driven capabilities for cloud-native network security, focusing on building models that enhance security and networking products through advanced analytics and machine learning.