Lead Engineer - ML QA

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.

The Opportunity

In this role, you will combine financial-domain expertise with advanced testing methodologies to implement robust, scalable quality engineering practices. You will drive end-to-end validation across applied AI and enterprise systems, ensuring platform readiness for production and long-term stability.

Inception, 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.inceptionai.ai

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.
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ 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.
  
  

• 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
  
  

• 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 Inception community.
  
  

• 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.
• Work-Life: A hybrid work policy to strike the perfect balance between office and home.
• Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.