Search the 13 jobs at DataVisor

As a Software Engineer, you will design and implement machine learning systems to detect fraud in real-time using advanced algorithms. This role involves building and optimizing systems and supporting features while utilizing big data technologies. You'll help innovate solutions in fraud detection and contribute to the development of distributed systems.

The Graphic Designer will create marketing materials such as eBooks, brochures, and social media graphics while collaborating with the marketing team. Responsibilities also include video editing and staying updated on design trends.

The Senior Software Engineer will design and build machine learning systems for fraud detection, utilizing unsupervised and supervised algorithms. Responsibilities include developing real-time systems, optimizing machine learning pipelines using big data technologies, and enhancing core detection algorithms.

As a Software Engineer, you will design and build machine learning systems that detect fraudulent behavior using unsupervised and supervised machine learning. You'll optimize systems and develop distributed real-time systems while using big data technologies to support the platform's capabilities.

As a Senior Quality Assurance Engineer at DataVisor, you will analyze requirements, design and execute test cases, improve user experience, maintain the automation framework, and develop automated test code for UI and API. Collaboration with product managers and engineers is key to timely problem resolution.

The Senior Front End Engineer will develop and enhance the DataVisor AI-powered platform using core web technologies. Responsibilities include working with front-end frameworks like Angular and React, writing performance-tuned code, developing E2E tests, and collaborating in an Agile environment. This role also involves server-side development with NodeJS and contributing to data visualization projects.

The role involves developing DataVisor's user analysis interface and contributing to both front-end and back-end development of their big data analysis platform. Candidates will focus on tasks like data visualization and API development, while also engaging in performance tuning and web testing.

The Senior Software Engineer will develop the backend of the fraud and risk platform using Java and C++. Responsibilities include enhancing detection algorithms, creating architecture for real-time detection, and collaborating with teams to translate roadmap vision into deliverables.

The Senior Quality Assurance Engineer will analyze information to recommend and plan new systems or modifications, program software for internet applications, conduct requirement analysis, and maintain automation frameworks. They will collaborate with product managers and engineers to resolve issues promptly, optimize user experiences, and design automated tests for UI and API.

As a Senior Site Reliability Engineer at DataVisor, you will enhance systems reliability and security across cloud infrastructure, automate tasks, and optimize big data platforms. Responsibilities include developing automation pipelines, proactive monitoring systems, and database maintenance, all while collaborating with engineering teams to improve performance.

As a Software Engineer at DataVisor, you'll design and build machine learning systems to detect fraudulent behavior, optimize tools, and develop architecture for real-time data processing using various technologies. You'll work with big data tools and contribute to enhancing detection algorithms as part of a creative and collaborative team.

The Senior Software Engineer will design and build machine learning systems that process large data sets for fraud detection. Responsibilities include developing real-time systems, optimizing pipelines, and utilizing big data technologies like Spark and Kafka. The role focuses on enhancing detection algorithms and automating training processes.

As a Senior Product Support Engineer at DataVisor, you will provide expert-level support to clients, managing technical requests via Zendesk, troubleshooting product issues in collaboration with engineering teams, and maintaining deep knowledge of the company's fraud prevention products. You will analyze trends to provide feedback for product enhancements.