The Pre-Sales Solutions Architect at DataVisor will lead solution architecting and integration scoping during pre-sales cycles, driving discussions with customer teams to align on integration needs. Responsibilities include managing technical meetings, knowledge transfer, setting up demo environments, and presenting solutions, all while collaborating closely with various internal teams to ensure successful customer onboarding and satisfaction.

As a Software Engineer, you will design and build machine learning systems to process data and detect fraudulent behavior using unsupervised and supervised machine learning techniques. You'll work on improving core algorithms and developing real-time streaming solutions, leveraging big data technologies and enhancing our detection capabilities against evolving fraud attacks.

As a Technical Project Management Intern, you will support the Technical Project Manager in overseeing global project management for fraud detection SaaS products, collaborating with various teams, participating in scope definitions, coordinating meetings, and assisting with problem triaging and documentation.

The Junior Front End Software Engineer will develop user analysis interfaces, engage in web and backend development, and work on API interfaces for the company's big data analysis platform, while focusing on business goals and enhancing productivity.

As a Senior Software Engineer, you will design and build advanced machine learning systems to detect fraud using unsupervised and supervised learning techniques. You will develop distributed real-time systems, optimize tools and validation strategies, and work with big data technologies to improve detection capabilities.

As a Senior Software Engineer, you will design and build machine learning systems for fraud detection using unsupervised and supervised learning. You will optimize systems, work on distributed real-time systems, and utilize big data technologies to create scalable machine learning pipelines. Join our innovative team focused on addressing complex fraud attacks.

The Quality Assurance Engineer Internship involves conducting requirement analysis, designing and executing test cases, improving user experience, maintaining automation frameworks, and collaborating with product and project managers to resolve issues. Interns will also design, implement, and maintain automated test code.

As a software engineer on the infrastructure team, you will build and maintain robust systems critical to DataVisor's operations. Responsibilities include automating code deployment, managing infrastructure, optimizing job runs across cloud providers, and ensuring adherence to SLAs while improving system reliability and scalability.

The Software Engineer will design and build machine learning systems to process large datasets, optimizing detection algorithms and creating real-time systems for fraud detection. Key responsibilities include using various machine learning methods and big data technologies to enhance detection capabilities and support feature development.

As a Senior Front End Engineer at DataVisor, you will develop and enhance web applications using HTML, CSS, and Javascript alongside frameworks like Angular and React. Responsibilities include coding, testing, and performance tuning, with a focus on delivering scalable AI-powered solutions for fraud detection.

The Senior Quality Assurance Engineer will analyze system requirements, design and execute test cases, write and modify code for internet applications, maintain automation frameworks, and improve product user experience in collaboration with other teams.

The Graphic Designer will create various marketing materials and assist with video editing, ensuring designs are on-brand and visually engaging. Collaboration with the marketing team is key to brainstorm concepts and stay abreast of design trends.

The Senior Site Reliability Engineer will enhance the reliability and scalability of DataVisor's infrastructure. Responsibilities include automating deployment pipelines, monitoring production systems, optimizing big data platforms, and maintaining cloud reliability. The role also involves collaboration with engineering to improve system performance and manage capacity.

The Senior Product Manager at DataVisor will define and execute the data integration roadmap, guide product delivery, and collaborate with engineering and data science teams to enhance product onboarding and integration processes. This role requires expertise in fraud and anti-money laundering, banking core systems integration, and advanced technical skills.

As a Field Data Scientist Intern, you will analyze real-world industry data to identify fraud patterns, develop and implement detection strategies, and build dashboards to track performance. Collaborating with Technical Account Managers and fraud teams, you will quantify the effectiveness of strategies and conduct feature engineering and tuning based on feedback.

The Senior AML Product Manager will develop and execute the AML roadmap, conduct market research, ensure global reporting compliance, integrate AI and machine learning into AML solutions, and collaborate with engineering for product launches. The role requires serving as a champion for the product, fostering customer adoption and feedback.

The Data Scientist in Fraud Detection will apply machine learning techniques to identify fraud patterns using large-scale data. The role involves hands-on project work with data manipulation and analysis, contributing to the company's fraud detection efforts.

As a Senior Product Support Engineer, you will provide technical support to DataVisor clients, triaging requests, monitoring system health, and collaborating with engineering and product teams. You will become an expert in the fraud prevention platform and communicate effectively with clients to resolve issues.

As a Platform Software Engineer Intern, you will support building a machine learning platform, enhancing detection algorithms, and automating training processes to combat fraud. You'll work on real-time UML and develop systems using big data technologies to process large datasets.

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.