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Lead production engineering for an AI market model, overseeing MLOps, machine learning engineering, and data engineering. Own the lifecycle from data pipelines and model training through serving and production monitoring.

Lead a team building data infrastructure and optimization systems that turn market predictions into pricing recommendations. Combine hands-on technical work with architecture ownership and people management.

Lead data engineering and data science efforts, combining hands-on technical leadership with team management. Build and scale the infrastructure and pipelines that support real-time pricing and machine learning products.

Own Israeli payroll operations and oversee the company’s international payroll ecosystem, working across Finance, HR, global providers, and multiple entities.

Lead and grow a platform engineering team responsible for transforming an operated infrastructure environment into a scalable, Kubernetes-native, self-service platform. Own platform architecture, reliability, developer enablement, and engineering standards for a growing global organization.

Lead the production engineering organization behind large-scale AI models, overseeing MLOps, machine learning engineering, data engineering, and the full model lifecycle from data pipelines through production monitoring.

Lead a team of data scientists and data engineers developing the data infrastructure, optimization systems, and machine learning products that support real-time pricing and revenue management decisions.

Architect and operate a secure, self-service internal platform for a rapidly scaling AI technology company. You will establish infrastructure standards, improve developer independence, and own production reliability across global markets.

Lead a small team of MLOps engineers building and operating an internal machine learning platform for research workflows and production model pipelines. This hands-on role combines technical leadership, team development, infrastructure ownership, and software engineering.

Own the end-to-end technical foundation of a greenfield, cloud-native platform that integrates with major enterprise clouds, CRM systems, and productivity suites. Lead architecture and core coding while guiding a small senior engineering team without direct people management.