COMPREDICT

• Develop, test and deploy data quality checks for timeseries • Develop, test and deploy labeling technics to describe efficiently the context of timeseries • Integrate advanced AI methods into the platform • Collaborate with cross-functional teams, including product designer and software engineers, to integrate developed technics into DataPilot

• Design and build scalable React applications using a modern TypeScript-first stack. • Implement modular feature-based architecture with clear separation between UI, state, and data layers. • Ensure high performance and responsiveness across complex data-heavy interfaces. • Develop interactive dashboards and tools for time-series data using Apache ECharts. • Translate complex data processing steps into intuitive multi-stage user workflows. • Integrate REST APIs using structured service layers and hooks. • Implement real-time features using Socket.IO for pipeline updates, notifications, and system status. • Write and maintain unit and integration tests using Vitest and Testing Library.

Role Description As a Frontend Engineer, you will play a key role in building a high-performance, data-intensive web application that transforms complex automotive time-series data into intuitive, actionable insights. The platform enables engineers and analysts to upload, process, validate, and explore vehicle signal data across a multi-step workflow—from ingestion to quality validation and visualization. Your work ensures that these workflows are reliable, responsive, and easy to use, even when handling large datasets and real-time updates. Your primary responsibility is to design and implement scalable, maintainable frontend systems that integrate seamlessly with backend services and real-time pipelines. As the product grows in complexity, your expertise will be critical in maintaining performance, usability, and architectural consistency. Qualifications - Strong professional experience with React and modern frontend development. - Expertise in TypeScript (strict mode, advanced types, generics). - Experience with state management patterns and clear separation of client vs server state. - Hands-on experience integrating REST APIs (e.g., with Axios). - Solid understanding of component architecture and composition patterns. - Experience with modern styling approaches such as Tailwind CSS. - Testing experience with modern tools (Vitest/Jest + Testing Library). - Familiarity with Git workflows and collaborative development. Requirements - Design and build scalable React applications using a modern TypeScript-first stack. - Implement modular feature-based architecture with clear separation between UI, state, and data layers. - Ensure high performance and responsiveness across complex data-heavy interfaces. - Develop interactive dashboards and tools for time-series data using Apache ECharts. - Translate complex data processing steps into intuitive multi-stage user workflows (upload → mapping → validation → analysis). - Implement advanced UI features such as filtering, sorting, zooming, and comparison views. - Integrate REST APIs using structured service layers and hooks. - Manage server state with TanStack Query and client state with Zustand. - Handle caching, optimistic updates, and synchronization with backend systems. - Implement real-time features using Socket.IO for pipeline updates, notifications, and system status. - Ensure consistent UI updates based on asynchronous events and long-running backend processes. - Write and maintain unit and integration tests using Vitest and Testing Library. - Maintain strict TypeScript standards with zero `any` usage. - Ensure code quality through linting, testing, and CI pipelines. - Work closely with backend engineers, data engineers, and product stakeholders to define API contracts and user experiences. - Translate technical requirements into clean, maintainable UI solutions. - Communicate design decisions and implementation trade-offs clearly. - Document frontend architecture, patterns, and workflows. - Contribute to shared design systems and frontend best practices. - Support team members with guidance on architecture, tooling, and patterns. Benefits - Working on a modern frontend stack built around React, TypeScript, and a strongly modular architecture. - Multi-step workflow systems with enforced state transitions. - Real-time data pipelines and notifications. - Advanced data visualization dashboards. - A custom design system with semantic tokens and theming. - A scalable app shell with dynamic layouts. - The environment emphasizes code quality, maintainability, and strong collaboration between frontend and backend teams.

• Design and maintain scalable pipelines for deploying machine learning models whether in-cloud or in-vehicle. • Ensure models are securely integrated into production environments with minimal latency. • Implement monitoring systems to track model performance and flag issues. • Develop methods to evaluate and compare the performance of different models. • Automate processes for validating model accuracy and consistency in production. • Work closely with data scientists, developers, and stakeholders to understand their needs and provide tailored solutions. • Create comprehensive documentation for processes, pipelines, and workflows. • Provide training and guidance to team members on MLOps best practices.