Principal Quality Assurance Engineer

Summary We are seeking a visionary and experienced Principal QA Engineer to architect, implement, and lead the quality assurance strategy for our cutting-edge AI-driven solutions on Project Mara. This role requires deep expertise in both traditional and AI / ML testing methodologies , with a proven ability to mentor a team , define technical direction, and ensure the delivery of high-quality, reliable, and ethical AI systems that drive business value.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.

5 - 7 years of experience in software testing / QA , with a minimum of 3+ years dedicated to testing complex Agentic AI / ML systems and data pipelines in a senior or principal capacity.

Proven experience mentoring, leading, or providing technical direction to a QA or Automation team.

Hands-on expertise in designing and scaling automated test frameworks using languages such as Python (preferred) , Java, or similar.

Exceptional understanding of ML model lifecycle, MLOps practices, and specialized AI / ML testing methodologies.

Excellent communication skills

Expert-level knowledge of QA methodologies, SDLC / MDLC, and Agile / Scrum.

Proficiency with API testing tools (e.G., RestAssured, Postman) and version control systems (Git).