V&V Engineer

Summary Job Description V&V Engineer in AI/ML team will be responsible for defining, executing, maintaining verification and validation activities for AI/ML-enabled software solutions used in commercial products and internal processes. V&V Engineer will work closely with software engineers, data scientists, product managers, and domain experts to ensure solutions are robust, reliable, scalable, and compliant with quality expectations.

Responsibilities

• This role is essential to ensuring that AI/ML systems meet functional, performance, and business requirements before deployment.
• Define and implement verification and validation strategies for AI/ML software solutions across the development lifecycle.
• Collaborate with software engineers and data scientists to understand system architecture, model behaviour, and technical requirements to develop effective test approaches.
• Work closely with cross-functional teams to translate business and product requirements into validation plans, test cases, and acceptance criteria.
• Develop, execute, and maintain test protocols covering functional, integration, system, regression, and performance testing.
• Validate AI/ML models and software components against expected behaviour, accuracy, robustness, and operational requirements.
• Contribute to the development of internal tools, test frameworks, and automated validation processes to improve efficiency and repeatability.
• Support root cause analysis and problem resolution for defects identified during development, integration, and product introduction.
• Stay up to date with the latest trends and technologies in software quality assurance, AI/ML validation, and test automation.
• Support Senior Engineers to safeguard design qualities through rigorous verification and validation activities.
• Maintain an active role in product introduction, cost improvements, schedule adherence, and problem resolution to meet business needs.
• Ensure adherence to engineering development methodologies, including Agile and the New Product Introduction (NPI) / OTR processes.
• Maintain high standards of test quality, traceability, and documentation, ensuring requirements are properly verified and validated.
• Participate in technical reviews and contribute to the definition of validation criteria, test strategies, and release readiness assessments.
• Implement best practices for software verification, test automation, defect tracking, and validation reporting.
• Develop technical competencies by contributing to structured test and validation methodologies, standards, and best practices for AI/ML software.
• Support the creation and continuous improvement of reusable test assets, validation templates, and documentation standards.
• Foster a collaborative and inclusive team environment.
• Encourage continuous learning and development within the team.
• Support knowledge sharing across engineering teams on verification, validation, quality, and release readiness practices.

Requirements

• Bachelor or Master of Science in Computer Science, Software Engineering, Electrical Engineering, Systems Engineering, Mathematics, or related field.
• Minimum 3-5 years of relevant experience in software verification, validation, quality assurance, or test engineering in an industrial or technology environment.
• Strong understanding of software development lifecycle, testing methodologies, and defect management processes.
• Experience with test planning, test execution, test automation, and requirements traceability.
• Knowledge of Agile development methodologies and New Product Introduction (NPI) processes.
• Strong analytical and problem-solving skills with ability to investigate, document, and resolve technical issues.
• Strong oral and written communication skills.
• Experience validating AI/ML-enabled software systems, including model performance, data quality, and robustness considerations.
• Experience with scripting or programming languages such as Python.
• Experience with test automation frameworks and CI/CD environments.
• Familiarity with cloud environments such as AWS or Azure.
• Ability to work across organizations in a matrix environment.
• Experience with requirement management and defect tracking tools.
• Strong interpersonal skills and ability to collaborate with software engineers, data scientists, and business stakeholders.

Additional Information Relocation Assistance Provided

Yes