Jobs at Zealogics LLC

Design and develop full stack applications, integrate AI models, manage APIs, optimize performance, and collaborate with AI/ML teams.

The role involves administering GitHub environments, managing security measures, integrating with tools like Azure DevOps, and supporting development teams. It also includes monitoring compliance and providing support for engineering initiatives.

The role involves developing and optimizing embedded systems software for motion control, device drivers, and communication protocols, collaborating with cross-functional teams.

Lead the design and development of applications for Microsoft Teams and Azure integration, ensuring production readiness and managing Agile delivery.

Lead the architecture and development of a proprietary Text-to-Code generation engine for Windows Desktop Automation, focusing on AI integration and system interaction.

The Design Engineer will work on electro-mechanical systems, designing submodules from concept to production, including 3D CAD modeling and technical drawing creation.

Design and develop applications for the Linux platform, focusing on efficient C++ code, maintaining quality, and solving performance issues.

As a Data Scientist, you'll analyze reliability data, build dashboards, and deploy machine learning models, collaborating with engineers and management.

Maintain and provision HPC clusters: install and configure Linux/Windows servers, build and cable racks, troubleshoot hardware and network issues, manage distributed filesystems, perform preventive maintenance, and support virtualization/containerization and web/database setups.

The Embedded Software Engineer develops and optimizes embedded software for motion control and communication subsystems, focusing on precision control systems and collaboration across teams.

Lead PMO for infrastructure integrations and transformations: govern program execution, maintain plans/RAID/dependency trackers, produce executive reporting, align stakeholders, run workshops, and drive issue resolution across global technology workstreams.

Lead end-to-end business analysis for complex, data-intensive fintech initiatives. Define scope and functional requirements, build prototypes and analytical models, apply GenAI to documentation and code for impact analysis, collaborate with engineering and data providers, manage QA and validation, and promote responsible GenAI adoption across BA/PM workflows.

The role involves working with stakeholders to define goals and requirements, coordinating project delivery, and preparing documentation while ensuring timely communication and collaboration across teams.

Perform routine audits and record reviews of patient and member files, extract and enter data for quality scorecards, support regulatory audit prep (CMS/DOH/NCQA HEDIS), identify documentation gaps, maintain tracking logs and basic reports, and collaborate with clinical and care teams to resolve documentation issues.

The DevOps Engineer will maintain the software department's build systems, enhance site reliability, automate CI/CD processes, and communicate with stakeholders for system upgrades and troubleshooting.

The Sales Executive is responsible for promoting products and services, establishing client relationships, meeting sales targets, and ensuring customer satisfaction through effective communication and teamwork.

Develop software for E-beam inspection tools, write documentation, perform testing, and ensure project timelines through collaboration.

Develop software for E-beam inspection tools, design and implement software modules, document requirements, and perform testing while collaborating with teams.

As an AI Fullstack Architect, you'll design AI-driven solutions across the tech stack, focusing on backend APIs, frontend applications, and AI integration, while mentoring teams and ensuring compliance with robust standards.

Design, build, and maintain Power BI dashboards and semantic data models using Power BI and Microsoft Fabric. Optimize performance, troubleshoot dataset and refresh issues, ensure governance and data accuracy, and collaborate with stakeholders to modernize analytics platforms.