AI Tester

This is a 12 months contract role which can be extended/renewed as project duration is 5 years.
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.