VandV Engineer

GE Vernova; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE Vernova, Inc. in Chennai/India is seeking a V&V Engineer for the AI/ML team to define and execute verification and validation activities for AI/ML-enabled software used in products and internal processes.

You will work with software engineers, data scientists, and product managers to ensure robustness, reliability, and compliance with quality expectations before deployment. Strong emphasis on test automation and scalable validation processes.

Qualifications

• Bachelor or Master of Science in Computer Science, Software Engineering, Electrical Engineering, Systems Engineering, Mathematics, or related field.
• 3–5 years of experience in software verification, validation, quality assurance, or test engineering in industrial/tech environments.
• Knowledge of lifecycle, testing methodologies, and defect management.
• Experience with test planning, execution, automation, and requirements traceability.
• Familiarity with Agile and NPI processes.

Responsibilities

• Define and implement verification and validation strategies across the development lifecycle.
• Collaborate with software engineers and data scientists to understand architecture, model behavior, and requirements to develop test approaches.
• Translate business and product requirements into validation plans, test cases, and acceptance criteria.
• Develop, execute, and maintain functional, integration, system, regression, and performance tests.
• Validate AI/ML models and software components against expected behavior and operational requirements.
• Contribute to internal tools, test frameworks, and automated validation processes to improve efficiency.
• Support root cause analysis and resolution for defects encountered during development, integration, and product introduction.
• Stay updated with trends in software QA, AI/ML validation, and test automation.

Skills

Software verification

Test planning

Test automation

CI/CD

Communication

Problem solving

Education

Bachelor or Master of Science in Computer Science/Software Engineering/Electrical Engineering/Systems Engineering/Mathematics

Tools

Python scripting

CI/CD tools

Test automation frameworks

Defect tracking tools

Job description

Job Description:

Job Description 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. This role is essential to ensuring that AI/ML systems meet functional, performance, and business requirements before deployment.

Main Responsibilities:

• 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.

Qualifications & 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