Join our mission to create a world where healthcare has no limits. We’re not just evolving today’s technologies; we’re pushing the boundaries of what care means. Together, we’re building a community of diverse perspectives, giving ideas space and energy to grow and succeed. Every day, we confront the biggest challenges in healthcare and deliver solutions to make it more personal, human, and connected. Tomorrow is always in the hands of those with a passion and drive to make the world better. Here, our future is limitless.
In your role as AI Verification and Validation Engineer will be crucial in developing an advanced analytics and intelligence software suite aimed at early disease prediction.Job DescriptionKey Responsibilities:
Software Suite Development: Develop a comprehensive software suite for data collection, storage, sharing, traditional and AI analytics hosting and execution, and visualization.
Project Involvement: Engage from the design phase through implementation to ensure the verification strategy aligns with the software design.
Hybrid Edge-Cloud Solution: Work on a solution that is light on-premises and heavy on cloud, using Amazon AWS.
Agile Team Environment: Collaborate in a truly agile, cross-functional team with diverse expertise.
Proactive Contribution: Bring your own ideas, challenge the status quo, and execute tasks independently.
Clear Communication: Maintain transparent communication with leaders and team members.
Defined Goals: Work towards clearly defined goals with support from your leaders.
Testing and Validation:Test Plan Design: Design and implement test plans and test cases for traditional and AI systems.
Automated and Manual Testing: Create and execute automated testing to ensure software functionalities and perform manual testing if required.
Defect Analysis: Analyze test results and report defects to the development team.
Collaboration: Work closely with software engineers to resolve identified issues.
Documentation: Maintain and update test documentation.
Compliance: Ensure compliance with industry standards and regulatory requirements.
Process Improvement: Continuously improve testing processes and methodologies.
Quality Assurance: Strengthen the quality of products during development and when deployed into production, collaborating with medical experts to deliver high-quality healthcare services and products.
Technical Expertise:AWS and Microservices: Experience in Amazon AWS, microservices, and serverless environments.
Tool Evaluation: Evaluate new tools, algorithms, and technologies through POCs.
Best Practices: Practice strong software development/testing principles and best practices, including Test-Driven Development (TDD), CI/CD, code reviews, code refactoring, and coding standards.
Service-Oriented Platforms: Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across multiple projects.
Regulatory Compliance: Document and test software and its components in compliance with the strictly regulated healthcare technology industry.
Independent Work: Work independently to deliver testing and use case creation that meets standards and delivers desired functionality using the selected technology.
Effective Testing: Write effective tests according to best practices to verify crucial functional requirements and ensure tests remain valid when code is refactored.
Quality Metrics: Define quality metrics, best practices, and coding patterns.
Requirements:Educational Background: Bachelor's or Master's Degree in Computer Science, Electrical Engineering, or a related field.
Experience:
3+ years of experience in software testing and validation.
2+ years of professional experience.
Technical Skills:
Proficiency in scripting and programming languages like Python.
Familiarity with test automation frameworks.
Experience with version control systems, particularly Git.
Experience with CI/CD systems and tools.
Analytical Skills: Strong analytical and problem-solving abilities.
Communication Skills: Excellent written and oral communication skills.
Work Authorization: Legal authorization to work in Hungary.
Work Mode: Ability to work in a hybrid mode, from an office in Budapest or Szeged, and from home.
Language Proficiency: Fluent in English, both spoken and written.
Agile Experience: Experience working in agile teams.
Adaptability: Flexibility to work in a rapidly changing environment, in a multi-disciplinary team, continuously testing and prototyping ideas.
Desired (Optional) Characteristics:Healthcare Industry Experience: Previous experience in the healthcare industry.
AWS Testing: Experience in testing on AWS environments.
Data Visualization: Familiarity with data visualization tools and techniques.
STEM Degree: Bachelor's Degree in a STEM major (Science, Technology, Engineering, Mathematics).
AI Integration: Experience with integrating AI components into software.
Third-Party Integration: Experience with integrating 2nd or 3rd party components into software.
Medical Standards Knowledge: Familiarity with medical standards, file formats, regulations, and best practices (e.g., DICOM, FHIR, 510(k)).
Image Processing: Experience in image processing algorithms, such as filters, sampling, and compression.
These desired characteristics highlight additional skills and experiences that can enhance your effectiveness in this role.
This role offers a dynamic and collaborative environment where you can make a significant impact on healthcare technology. If you enjoy working in a team, being proactive, and contributing to innovative solutions, this position could be a great fit for you! Join us in ensuring the highest standards of quality and reliability in our AI systems!
Additional InformationRelocation Assistance Provided: No