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Designs and maintains automated API, UI, integration, performance, regression, and end-to-end tests for a cloud-native identity and authentication SaaS platform. The role validates distributed systems, microservices, workflows, authentication, data integrity, and deployment environments. It includes CI/CD integration, test diagnostics, performance testing, AI-assisted test development, release quality gates, incident support, and collaboration with engineering, DevOps, architecture, and service delivery teams.

Provide tier 1/2 support to local and remote users; manage M365/Entra AD, Linux systems, VMware hosts, networking, storage and Zscaler; handle onboarding/offboarding, patching, automation with PowerShell, documentation, and coordinate with global IT teams.

The Product Support Engineer provides tier-1 and tier-2 support, triages incidents, collaborates with engineering teams, maintains documentation, and assists with internal tools to ensure customer satisfaction.

Develop and evaluate face biometric ML algorithms for authentication, liveness/anti-spoofing, and identity matching. Prototype, test, and tune computer vision models using deep learning frameworks, run experiments on large datasets, extend biometric code libraries, and translate research into deployable models and policies in collaboration with research and engineering teams.

Develop, prototype, and evaluate face biometric ML algorithms (authentication, liveness, anti-spoofing). Test and configure models, run experiments on large datasets, extend biometric code libraries, translate research into deployable models, and collaborate with research and engineering teams.

Develop and deploy machine learning and computer vision algorithms for identity document analysis, authentication, and fraud detection. Prototype and productionize solutions for cloud, server, and mobile, collaborate with cross-functional teams, and maintain/improve document processing, validation, and anti-fraud systems.

Develop and productionize computer-vision and ML algorithms for identity document analysis, authentication, and fraud detection. Prototype and build solutions for cloud, server, and mobile deployment, collaborate with engineering and product teams, evaluate and test document-processing models, and support long-term improvements and data curation for robust deployments.

The Senior Software Architect will design and manage the architecture of the TrustX platform, ensuring high quality across backend, frontend, and cloud services, and perform leadership roles in technical assessments and incident management.

As a Data Scientist specializing in computer vision, you will develop algorithms for identity document analysis, authentication, and fraud detection, using machine learning and deep learning techniques.

The Senior Software Engineer will design and develop backend services for the TrustX platform, collaborating with various teams, implementing APIs, and ensuring performance and reliability of identity verification systems.