QA Engineer - AI/ML - CGI

QA Engineer - AI/ML Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. ________ Job Title: QA Engineer - AI/ML Position: Senior Test Engineer Experience: 5–7 Years Category: Software Engineering Shift: 12:30 PM to 10:00 PM IST Work Mode: Hybrid (3 Days in Office, 2 Days Work from Home) Main Location: India, Karnataka, Bangalore CGI Office Locations: TPLS Bangalore Position ID: J0726-1287 Employment Type: Full Time ________ Education Qualification: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or higher) with a minimum of 5 years of relevant experience. ________ Position Description: We are seeking a highly skilled and detail-oriented QA Engineer - AI/ML to join our team. In this role, you will be responsible for ensuring the accuracy, reliability, and performance of complex data pipelines, ETL processes, and enterprise-scale data processing systems. The ideal candidate will possess strong expertise in data testing, automation, Python, SQL, API validation, and ETL technologies. Additionally, you will leverage modern AI/ML tools such as GitHub Copilot and Agentic AI solutions to improve testing efficiency, automate repetitive tasks, and enhance quality engineering practices. This position requires strong banking domain knowledge, particularly in Transaction Lifecycle Management (TLM) and financial reconciliation processes, to ensure data accuracy and business process integrity. ________

Your future duties and responsibilities

• Design, develop, and execute comprehensive data validation and reconciliation strategies.
• Validate data accuracy across complex enterprise data architectures.
• Perform end-to-end reconciliation testing to ensure consistency between source and target systems.
• Ensure accuracy of financial and transactional data across business workflows.
• Validate complex ETL pipelines and data transformation processes.
• Perform data lineage testing and trace data movement from source systems to target systems.
• Verify data mappings, business rules, and transformation logic across platforms.
• Work with enterprise ETL tools such as IBM DataStage and Informatica.
• Build and maintain scalable automation frameworks using Robot Framework.