Job Description

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.