AI Innovation Engineer (Quality and Automation)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Innovation Engineer (AI, Quality Assurance): Designing and developing AI-driven solutions to optimize manual and automated testing processes within the Software Development Life Cycle, with an accent on integrating AI with low-code ecosystems. Focus on building robust, automated frameworks, increasing predictive accuracy, and driving incremental innovation in quality assurance.
Location: Candidates could be in any of the locations: Lisbon, Porto, Coimbra, Guarda, Covilhã, or Castelo Branco.
Company
is a forward-thinking company focused on transforming digital landscapes through intelligent automation and low-code excellence.
What you will do
- Design and implement AI/ML-driven features within OutSystems applications to improve user experience and operational efficiency in the SDLC testing phase.
- Identify cutting-edge AI tools and technologies for integration into current Quality Assurance and Development workflows.
- Facilitate interaction between teams to ensure AI solutions are secure, scalable, and high-performing.
- Drive a culture of "incremental innovation" by constantly refining functionality, usability, and security through automated intelligence.
Requirements
- Strong proficiency in the OutSystems low-code platform.
- At least 3 years of experience in test automation and 1 year with AI technology.
- Demonstrable proficiency in leveraging OutSystems low-code platforms (UiPath is desired) for intelligent automation and "self-healing" processes.
- Excellent verbal and written communication skills, with the ability to translate complex AI/technical concepts for non-technical stakeholders.
- Possess a high degree of initiative, a collaborative spirit, and a passion for staying ahead of AI trends and emerging technologies.
Nice to have
- OutSystems Certifications (Associate, Professional, or Expert).
- AI/Machine Learning Certifications (Azure AI, AWS Certified Machine Learning, etc.).
- ISTQB or Automation-specific certifications.
Culture & Benefits
- All recruitment and selection processes are based on equal opportunities.
- Valuing the competence and potential of each person.
- Ensuring no candidate is discriminated against on the grounds of gender, ethnicity, sexual orientation, age, religion, or physical condition.
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