Вакансии: AI & Machine Learning — Israel

Join a global forward-deployed engineering team as a Senior Cloud Architect focused on production AI/ML and GenAI solutions, cloud optimization, customer adoption, and technical product feedback. The role is remote and available to full-time employees in Israel and selected European countries; it is

Join an applied research team developing scalable AI systems for biological and healthcare applications. The role combines deep learning, multimodal modeling, generative and agentic AI, and digital twins.

A computer vision and machine learning company is seeking a Machine Learning Researcher to conduct research, develop algorithms, and implement deep learning solutions in a hybrid Ramat Gan role.

Join remote, flexible contract projects that improve how AI systems generate and understand software. You will write and evaluate code, identify issues, and explain engineering decisions clearly.

Design, evaluate, and productionize generative AI systems that use language, vision-language, and agentic reasoning to interpret structured, relational, spatial, and technical information for construction and design workflows.

A telecommunications technology company is seeking a hands-on engineer to evaluate and improve AI systems used for RAN engineering ticket intelligence, root-cause analysis, ownership recommendations, and workflow improvement.

A government technology team in Jerusalem is seeking an experienced AI/ML engineer to develop and deploy data-driven models and intelligent applications across cloud and on-premise environments.

Lead the architecture of internal AI infrastructure and engineering platforms for an enterprise storage technology company. Design production-grade, on-premises AI systems spanning LLM inference, RAG, developer tooling, and secure platform integrations.

Develop and productionize AI and machine learning solutions for consumer learning applications, spanning generative AI, computer vision, and real-time audio models.

Join a financial technology platform team building scalable AI/ML infrastructure and production-grade systems. The role covers the full machine learning lifecycle, from experimentation and training through deployment, observability, and governance, with a focus on modern LLM and generative AI use в