QA Engineer – Product Testing & Dataset Benchmarking

• Role: QA Engineer – Product Testing & Dataset Benchmarking
• Exp: 6 Months to 2 Years
• Work Mode: Work from Office, Mohali, PB
• Shift time: Afternoon shift

Job Role & Responsibilities

• We are hiring a QA Engineer – Product Testing & Dataset Benchmarking to evaluate the quality, accuracy, and functionality of our AI-powered recruitment products.
• This role is similar to a Manual QA role, but the primary focus will be on:
• Testing product functionalities using different datasets and real-world scenarios.
• Preparing, organizing, and maintaining datasets for product validation and benchmarking.
• Performing document testing across various file formats (PDF, DOC, DOCX, RTF, TXT, etc.) to validate product behavior and extraction accuracy.
• Evaluating Resume Parsing accuracy across multiple resume formats, layouts, and industries.
• Evaluating Job Description (JD) Parsing accuracy using diverse JD datasets.
• Testing Search & Match functionality and validating the relevance and accuracy of matching results.
• Comparing expected versus actual product outputs and identifying accuracy gaps.
• Preparing benchmarking and accuracy reports with detailed observations and metrics.
• Identifying, documenting, and reporting functional issues using tools such as JIRA.
• Re-testing fixes and tracking product accuracy improvements across releases.

Good to Have

• Exposure to Manual QA methodologies.
• Experience creating test cases or test plans.
• Basic SQL and API testing knowledge.
• Experience with QA or issue-tracking tools such as JIRA, TestRail, or Zephyr.

Qualification Required

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• 6 months – 2 years of experience in Product Testing, Manual QA, Software Testing, Data Validation, or a similar analytical role.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Good written and verbal communication skills.
• Ability to analyze product outputs and document observations clearly.

Technical background

• Basic understanding of software testing principles and product validation.
• Experience working with structured and unstructured datasets.
• Comfortable testing documents in multiple formats such as PDF, DOC, DOCX, RTF, TXT, etc.
• Basic knowledge of issue tracking tools such as JIRA or similar platforms.
• Proficient in Microsoft Excel or Google Sheets for preparing benchmarking and analysis reports.
• Understanding of AI/ML-based products or data-driven applications will be an advantage.
• Minimum skills we look for: