Hybrid AI QA Analyst — Validate ML Models & Data

Hexa Consulting; Lisboa; Híbrido; EUR 28 000 - 44 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Private health insurance from day one

Mental health support via TEAM 24

Childcare vouchers and family support

Continuous learning & certification

Resumo da oferta

Hexa Consulting is seeking a Mid QA Analyst (AI) to join our Client's team in a hybrid work model from Lisbon. You will contribute to QA strategies for AI/ML-based systems and collaborate with cross-functional teams in a banking technology environment.

The role requires hands-on testing across manual, functional, exploratory and AI-specific testing, with a strong focus on data quality and model behavior validation, in an Agile SCRUM setting.

Qualificações

• 3+ years as QA Analyst in relevant field.
• Hands-on AI/ML testing and data validation.
• Experience with API testing and SQL data checks.
• Strong communication and documentation skills.
• Proficiency in English in a professional context.

Responsabilidades

• Define test strategies and plans for AI/ML systems.
• Execute manual, exploratory, functional and non-functional tests.
• Validate AI model behavior and data quality.
• Review results and support reliable delivery.
• Collaborate in Agile SCRUM ceremonies and report progress.
• Prepare clear test status and defect reports.

Conhecimentos

AI/ML concepts

Manual testing

Functional testing

Non-functional testing

Model validation

Data quality checks

JIRA

XRAY

API testing

SQL

Python

Playwright

Selenium

Katalon

Agile SCRUM

Test reporting

Defect tracking

Test effort estimation

English proficiency

Formação académica

Higher education in CS/SE/Data Science

Ferramentas

JIRA

XRAY

SoapUI

Postman

SQL Developer

Python

Playwright

Selenium

Katalon

Descrição da oferta de emprego

Hexa Consulting is seeking a Mid QA Analyst (AI) to join our Client's team in a hybrid work model from Lisbon. You will contribute to QA strategies for AI/ML-based systems and collaborate with cross-functional teams in a banking technology environment.

The role requires hands-on testing across manual, functional, exploratory and AI-specific testing, with a strong focus on data quality and model behavior validation, in an Agile SCRUM setting.