Lead Engineer - ML QA
Date: 22 Sept 2026
Location: Abu Dhabi, Abu Dhabi, AE
Company: G Forty Two General Trading LLC
Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai
Overview:
As a QA Lead at Inception, you will be responsible for defining and overseeing the quality assurance strategy for complex financial-domain applications. You will lead both manual and automated testing practices, ensuring that all AI-enabled and enterprise platforms adhere to stringent quality, reliability, and compliance standards.
Responsibilities:
- Lead QA teams responsible for manual and automated testing across financial applications and AI-driven platforms.
- Define test strategies, governance frameworks, and quality standards aligned with business and regulatory requirements.
- Oversee test planning, test-case design, automation development, and regression execution.
- Implement automation frameworks supporting UI, API, and data validation.
- Collaborate with engineering, product, and architecture teams to ensure testability at all stages of the SDLC.
- Integrate continuous testing practices within CI/CD pipelines.
- Track quality metrics, defect patterns, and coverage statistics to ensure delivery readiness.
- Ensure compliance with financial regulations, security requirements, and audit standards.
- Mentor QA engineers and advance best practices in test automation and domain-specific validation.
Qualifications:
To qualify for the role, you must have
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 8+ years of QA experience with proven leadership in financial or enterprise environments.
- Strong background in manual and automated testing methodologies.
- Experience developing automation frameworks and validating regulated financial workflows.
- Familiarity with agile delivery processes and CI/CD tooling.
- Strong analytical and communication skills.
Technical Exposure
- Automation Frameworks: Selenium, Playwright, Cypress, RestAssured
- Languages: Python, C#, TypeScript
- CI/CD: Azure DevOps, GitHub Actions
- Cloud (Azure): App Services, Functions, AKS
- Data: SQL, Data Factory
- Domain: Financial systems, compliance, reporting