QA Specialist – RPA
4 hours ago
About the Role
We are seeking a QA Specialist with strong experience in Robotic Process Automation (RPA) and Artificial Intelligence / Machine Learning (AI/ML) systems. The ideal candidate will bring a deep understanding of automation testing, data validation, and intelligent system behavior to ensure our products deliver exceptional reliability, performance, and accuracy.
As a QA Specialist in our advanced automation environment, you will work closely with developers, data scientists, and business analysts to design and execute comprehensive testing strategies across RPA workflows and AI-driven applications.Key Responsibilities
- Develop and execute test plans, test cases, and test scripts for RPA bots and AI/ML systems.
- Perform functional, regression, integration, and performance testing for automation solutions.
- Validate model outputs, data pipelines, and algorithmic performance against business and accuracy requirements.
- Collaborate with RPA developers and data engineers to identify defects, process improvements, and automation gaps.
- Build automated test frameworks and support CI/CD pipelines for continuous testing.
- Ensure compliance with QA standards, documentation, and best practices for intelligent automation solutions.
- Analyze test results, prepare detailed reports, and support release readiness activities.
- Stay current on QA tools, RPA technologies (e.g., UiPath, Automation Anywhere, Blue Prism), and emerging AI/ML testing methodologies.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
- 3+ years of experience in software quality assurance or test automation.
- Hands-on experience with RPA platforms (UiPath, Automation Anywhere, Blue Prism, etc.).
- Knowledge of AI/ML model testing, validation techniques, and data quality assessment.
- Proficiency in Python, Java, or another scripting language used for automation and test development.
- Experience with test management tools (JIRA, TestRail, Zephyr) and CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps).
- Strong analytical skills and ability to interpret model behavior and data transformations.
Preferred Qualifications
- Experience testing machine learning pipelines (TensorFlow, PyTorch, scikit-learn).
- Familiarity with data versioning and MLOps tools (DVC, MLflow, Kubeflow).
- Exposure to cloud platforms (AWS, Azure, GCP) for deployment and testing of automation solutions.
- ISTQB or equivalent QA certification.
- Excellent communication and documentation skills.
What We Offer
- Opportunities for professional growth in AI and automation domains
- Collaborative, innovative work culture
How to Apply
Please submit your resume and a brief cover letter outlining your experience in QA, RPA, and AI/ML testing to
Applications will be reviewed on a rolling basis.
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