Top Artificial Intelligence Jobs in Jerusalem

The Director of Machine Learning at PureSpectrum will lead the development of AI and machine learning solutions for enhancing market research. Responsibilities include executing machine learning strategies, integrating NLP techniques, collaborating with teams, building data pipelines, and communicating AI insights to stakeholders.

The Technical AI Project Manager will drive AI adoption and integration across business units, lead cross-functional initiatives, establish best practices for responsible AI use, and ensure solutions align with organizational goals by building frameworks and supporting AI innovation.

The Senior Engineer will lead backend engineering for CrowdStrike's Cloud Security Product Group. Responsibilities include developing cloud-native systems, collaborating across teams, mentoring developers, and improving product architecture and stability in a fast-paced environment.

Seeking a CS Ops Manager with a deep understanding of AI platforms and services for customer-facing teams. Responsible for identifying growth opportunities, assessing AI solutions, and enhancing day-to-day operations of the customer success department.

As an AI Engineer, you will develop AI-driven optimization solutions, define algorithms based on data availability, create proofs of concept for these algorithms, and integrate them into products while working closely within an R&D team.

As an AI Engineer, you will work on R&D for AI-driven optimization solutions, defining and developing AI/ML algorithms based on data. You will integrate these algorithms into company products and collaborate in a fast-paced team environment, leveraging your experience in AI/ML applications and knowledge of cellular networks if applicable.

As a Senior Software Engineer on the AI team at Redis, you will work on the development and enhancement of Redis's vector and search functionalities. Your responsibilities include researching and implementing advanced algorithms, optimizing performance, and solving large-scale indexing and querying challenges. Collaborating with cross-functional teams will be essential to influence the evolution of Redis technology.