AI Quality Assurance Engineer

Role Summary

As an AI Quality Assurance Engineer, you will play a pivotal role in ensuring the delivery of high-quality software products in the IT industry. You will engage in various testing activities, working closely with development teams to validate AI-driven solutions. Your expertise will contribute to enhancing product reliability and user satisfaction.

Responsibilities

• Develop and execute comprehensive test plans and test cases to ensure software quality and performance.

• Collaborate with developers and product managers to understand requirements and create test strategies that align with project goals.

• Identify, document, and track bugs and issues, facilitating their resolution through effective communication with the development team.

• Implement automated testing frameworks to improve testing efficiency and coverage, reducing manual effort.

• Conduct regression testing to confirm that new features do not adversely affect existing functionalities.

• Participate in code reviews and contribute to the continuous improvement of testing processes and methodologies.

Ways of Working

• Embrace a collaborative approach by working closely with cross-functional teams, including product management and engineering, to drive quality initiatives.

• Foster an environment of continuous learning and knowledge sharing within the QA team, enhancing overall team capabilities.

• Actively engage in project planning and retrospectives to identify areas for improvement in both processes and product quality.

Collaboration & Communication

• Maintain clear and concise documentation of testing processes, results, and recommendations for stakeholders.

• Participate in regular meetings with team members to discuss project updates, testing outcomes, and any challenges encountered.

• Communicate effectively with both technical and non-technical stakeholders to ensure alignment on quality expectations and timelines.

Growth Signals

• Opportunities for professional development through training in the latest testing tools and methodologies.

• Pathways to take on more significant roles within the QA team or transition into related areas such as development or product management.

• Recognition for contributions to quality improvements that lead to enhanced product performance and customer satisfaction.

Must-Haves

• AI Testing, API Testing, Bias Detection, CI/CD, Data Quality, ETL Testing, Jira, Load Testing, Model Validation, Postman, Pytest, Selenium, Test Automation, AI Testing, Model Validation, Test Automation, Python, SQL, Selenium, Pytest, Postman, API Testing, ETL Testing, Performance Testing, Load Testing, Bias Detection, Data Quality, CI/CD, Jira, TestRail, Rest, Microservices, Agile Methodology, Automated Testing, Data Analysis, Defect Tracking, Machine Learning Concepts, Mentoring Juniors, Performance Testing, Python, Quality Metrics, Requirements Gathering, Risk Assessment, SQL, Test Case Design, Test Strategy Development

Nice-to-Have Skills

• Advanced Data Analysis, Cloud Testing (AWS), Confluence, Data Engineering Basics, Data Profiling, Excel, Scrum, TensorFlow, User Acceptance Testing (UAT)

Engagement & Compensation

• Employment Type: Freelance

• Work Mode: Onsite

• Location: Delhi, Delhi, India

• Openings: 1 position available.

• Experience: 4 to 7 years

Additional Comments

This position offers a unique opportunity to work on cutting-edge AI technologies and be part of a dynamic team focused on delivering exceptional software solutions.