Engineer - ML QA

Inception
42, 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
42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception
42 is committed to creating positive societal impact. For more information, please visit (Use the "Apply for this Job" box below)..ai

As an Engineer - ML QA at Inception, you will be responsible for developing and executing quality assurance processes to ensure the accuracy, reliability, and performance of machine learning models and AI applications. you will work closely with data scientists, software engineers, and product teams to validate ML models and systems. Your role is crucial in maintaining high standards of quality for the company's AI & machine learning initiatives.

As an Engineer - ML QA, you will be responsible for executing QA processes for machine learning models to ensure they meet the company’s quality standards. Your role will encompass a range of activities focused on model validation, testing, and collaboration.

• Collaborate with a team of ML QA engineers to ensure the highest quality product delivery.
• Design, implement, and oversee the overall ML QA strategy for machine learning-based products and services.
• Collaborate closely with cross-functional teams, including software engineers, machine learning scientists, and product managers.
• Design and execute test plans, including manual and automated test cases.
• Validate AI chat and RAG applications for response accuracy, relevance, groundedness, hallucination, safety, and retrieval quality.
• Implement LLM-as-a-Judge evaluation approaches and automated evaluation pipelines using Deep Eval.
• Monitor ML QA results and metrics, and report findings to senior management.
• Lead root cause analysis and complex problem-solving initiatives for project issues.
• Maintain up-to-date knowledge of the latest QA tools, frameworks, and best practices, and drive adoption across the QA team.
• Ensure compliance with industry and company quality standards.

• Bachelor’s degree in computer science, Engineering, or a related technical field.
• Minimum of 5 years of experience in a QA role, with at least 2 years in a leadership position.
• In-depth experience with QA methodologies, tools, and processes.
• Understanding of machine learning products lifecycle.
• Strong experience with data quality assessment.
• Proven experience in writing clear, concise, and comprehensive test plans and test cases.
• Familiarity with software development lifecycle (SDLC) and agile methodologies.
• Experience with cloud-based services and architectures.
• Strong problem-solving skills and excellent attention to detail.
• Domain experience in health, finance or climate industry is a plus.
• Excellent verbal and written communication skills.
• Programming languages:
  Python, Java, SQL
• Testing Tools:
  Playwright, Selenium, JUnit, PyTest, Gatling, Postman, Rest Assured
• LLM Evaluation:
  Deep Eval, LLM-as-a-Judge, AI Chat and RAG validation
• Cloud Services:
  Azure (optional AWS, GCP)
• Monitoring Tools:
  Grafana, Kibana

Inception
42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.