Instituto de Pesquisas Eldorado

QA Engineer

• Define, document, and execute test plans and test cases for the features developed by the team.
• Define and validate data quality rules (quality gates) to detect duplication and inconsistencies across sources.
• Test ingestion and transformation pipelines, including failure scenarios such as schema changes, scraping blocks, and source unavailability.
• Validate the accuracy and coverage of data classification and matching mechanisms using reference samples.
• Validate test coverage and prepare and monitor test execution and bug reports.
• Test security and access controls (RBAC) across the different layers of the platform.
• Participate in user acceptance testing (UAT) with the client, validating deliverables at each major project stage.
• Support the documentation of success criteria and outcomes of the project's investigative activities, focusing on the empirical validation of experiments.
• Build automated tests for the developed solutions using available tools.
• Participate in technical and requirements meetings with the partner.
• Implement automated data quality tests, including completeness, consistency, and business rules.
• Conduct performance and load testing on pipelines and analytical queries.
• Document and report bugs, tracking their resolution with the technical teams.

Test Analyst

Backend Engineer

• Work with users to understand problems and challenges and propose effective solutions
• Develop the backend of a web solution using Python, Node.js, and TypeScript
• Develop APIs to integrate the data platform with external systems
• Implement CI/CD automation for data and notebook pipelines (Databricks/Fabric)
• Support the provisioning and configuration of cloud infrastructure on Azure
• Support data engineers in building and industrializing ingestion pipelines, including integrations through scraping and data replication
• Implement monitoring and alerts for production pipelines, including detection of specific failures
• Implement role-based access control (RBAC) rules and mechanisms for anonymizing sensitive data
• Collaborate with QA on defining load and security tests for APIs and the platform’s access model
• Provide technical support for performance testing and user acceptance testing

Backend Developer

Machine Learning Engineer

• Support the development and evolution of Machine Learning and Artificial Intelligence models
• Participate in data preparation, analysis, and processing
• Assist with the validation and monitoring of models in production
• Collaborate with multidisciplinary teams to identify opportunities for applying AI
• Contribute to the documentation and continuous improvement of model development processes
• Support experiments and analyses to generate data-driven insights
• Work closely with engineering, data, and product teams

Machine Learning Developer

Analyst

• Analyze, define, and monitor safety requirements applicable to embedded systems and technology solutions
• Support Functional Safety and Safety Engineering activities in collaboration with software, systems, quality, validation, and architecture teams
• Support the definition and analysis of system safety requirements
• Participate in risk analyses, hazard identification, and the definition of mitigation measures
• Prepare and maintain Safety-related documentation, evidence, and traceability records
• Support HARA, FMEA, FTA, and other risk assessment techniques
• Monitor the implementation, verification, and validation of safety requirements
• Support technical reviews, audits, and the follow-up of nonconformities

Functional Safety Analyst – Safety

Full-stack Engineer

• Develop and maintain front-end and back-end web applications.
• Implement new features, fixes, and improvements to existing systems.
• Support the development and maintenance of CI/CD pipelines.
• Participate in automating development, testing, and deployment processes.
• Collaborate on the administration and evolution of cloud environments.
• Support the integration of Artificial Intelligence models and services into products and solutions.
• Conduct application testing, debugging, and performance analysis.
• Participate in code reviews and follow software engineering best practices.
• Create and maintain technical documentation for developed solutions.

Full-Stack Developer

Android Engineer

• Develop embedded software for the camera subsystem of Embedded Android systems using Kotlin/Java
• Integrate camera subsystem features/libraries with Embedded Android
• Support camera certification testing for AOSP
• Analyze issues and debug logcat logs at the application and framework levels, including SELinux and dmesg
• Adapt system applications for new Android versions
• Participate in code reviews with the team
• Participate in technical and requirements discussions
• Work on an international project, requiring reading, writing, and conversational English

Android Developer

Data Engineer

• Work on R&D projects focused on thermal/infrared perception;
• Develop and enhance computer vision algorithms for RGB, thermal, FIR/LWIR images and other sensors;
• Conduct experiments, error analysis, and model performance evaluations;
• Support the definition of datasets, annotation strategies, preprocessing, and data augmentation;
• Integrate computer vision models with embedded applications and platforms;
• Support the technical architecture, documentation, and validation of solutions with the team and the client.