Lead Engineer - ML QA
This role requires leading end-to-end quality assurance for AI-driven financial applications, blending deep expertise in automated testing frameworks with domain-specific validation to ensure model reliability and compliance. The ideal candidate will architect scalable QA processes, bridging ML engineering and financial risk assessment to deliver high-confidence production systems.
Skills required
About this role
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
What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community.
What Working At Inception42 Offers
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
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