We are hiring a talented Quality Assurance Automation Engineer to join our client's team a well-known fintech company.

Responsibilities:

• Analyze and clarify requirements with engineers or project managers
• Develop and maintain automated test suites for AI-driven applications
• Design tests to validate real-time trading logic
• Automate performance and stress testing for model inference under various market scenarios
• Validate quality and correctness of input data pipelines (market data, sentiment signals, behavioral metrics)
• Collaborate with ML engineers to verify input/output integrity of machine learning models
• Work closely with AI/ML developers, data scientists, and product managers to understand model behavior and business logic
• Suggest solutions to identified product problems
• Identify problem areas and add them to a tracking system
• Investigate product quality to drive improvements and achieve better customer satisfaction
• Maintain test documentation

Desired Candidate Profile

Requirements:

• BS in Computer Science or related field
• Experience in QA Automation
• Programming skills in Python (preferred), JavaScript, or Java
• Experience with test automation frameworks like PyTest, Robot Framework, Selenium, or Cypress
• Understanding of the machine learning lifecycle and model testing concepts
• Familiarity with API testing tools (e.g., Postman) and CI/CD tools (e.g., Jenkins, GitHub)
• Experience with data validation in structured and semi-structured formats (JSON, CSV, etc.)
• Experience working with logs, metrics, and monitoring systems (e.g., Grafana)
• Familiarity with ML libraries from a testing perspective
• Experience testing systems involving real-time data, predictive modeling, or sentiment/emotion analysis