Job Purpose:
The AI Tester will be responsible for validating the functionality, performance, and reliability of AI-driven systems and applications. This includes designing and executing test cases for machine learning models, automation flows, and intelligent features integrated into enterprise platforms.
Mandatory skills:
- Experience: At least 5 - 7 years in the field of test engineering.
- AI Tools: Familiarity with the Microsoft Responsible AI Toolbox, AI Foundry, and Guardrail. Knowledge of GPT-4.0 or other LLMs, as well as expertise in prompt engineering, is highly beneficial.
- Automation Tools: Significant expertise in automation tools such as Selenium, JMeter, LoadRunner, or Appium for automating web, mobile, and performance testing.
- CI/CD Integration: A strong grasp on continuous integration and continuous deployment tools such as Jenkins, Bamboo, or GitLab CI/CD to automate build and deployment processes.
- Quality Assurance: Thorough understanding of Quality Assurance principles, testing methodologies, and best practices. The ability to develop robust automation frameworks to ensure the highest standards of quality in our products.
Preferred Skills:
- Experience in the Fintech/BFSI domain
- Availability for remote or onsite work
- Proficiency in automation and framework
- Expertise in validating data correction and hallucination
- Expertise in AzureDevOps or Jira
- Industry Standards: Understanding of software development methodologies like Agile, Scrum, and DevOps practices.
Roles and Responsibilities:
- Role Focus: Testing and evaluating AI models
- Skills Required: Proficiency in testing and evaluating technology
- Work Environment: Agile model, collaboration with Development and Integration teams
- Independence: Ability to work independently and bring innovative ideas
- Daily and weekly test reporting
- Defect tracking
- Attending daily stand-up and retrospective meetings
- Problem-solving and root cause analysis
- Automation scripts and test case accuracy
- Analytical Skills: Ability to analyze test results, identify trends, and derive meaningful insights
- Desired Traits: Detail-oriented, innovative, analytical
Soft Skills:
- Communication: Excellent verbal and written communication skills to articulate complex technical concepts to diverse stakeholders.
- Collaboration: Ability to work effectively within cross functional teams, including developers, QA engineers, and product managers.
- Adaptability: Flexibility to adapt to changing technologies, processes, and project requirements.
- Leadership: Capability to mentor junior team members, provide guidance, and lead automation initiatives.