Infosys is seeking a highly skilled and outcome-driven AI Quality Engineering (QE) Manager to ensure the quality, reliability, and performance of our AI models and systems. The ideal candidate will have a strong background in quality engineering and testing methodologies, with a deep understanding of AI technologies and a passion for delivering high-quality AI products.
Key Responsibilities
- Test Planning and Execution. Develop and execute comprehensive test plans and strategies for AI models and systems. Design robust test automation frameworks to ensure efficient and effective testing.
- Testing Types. Guide the team in conducting various types of testing, including unit, functional, performance, robustness, bias, and fairness testing.
- Model Evaluation. Evaluate model performance using metrics such as accuracy, precision, recall, F1 score, BLEU, and FID.
- Collaboration. Work closely with data scientists and engineers to understand model architecture and identify testing requirements.
- Defect Management. Analyze test results, identify defects, and collaborate with development teams to resolve issues.
- Performance Analysis. Utilize statistical methods and metrics to evaluate model performance and identify areas for improvement.
- Continuous Improvement. Stay up-to-date with the latest advancements in AI testing methodologies and tools.
- Reporting. Track QA activities, ensure the quality of delivery, and report the status of QA activities to all stakeholders.
Qualifications
- Educational Background. Bachelor’s degree in Computer Science, Engineering, or a related field.
- Technical Skills. Strong programming skills in Python and experience with AI frameworks such as TensorFlow and PyTorch.
- Experience. Proven experience in software testing and quality assurance, with knowledge of machine learning algorithms and AI concepts.
- Tools. Proficiency in test automation tools and frameworks.
- Analytical Skills. Excellent analytical and problem-solving skills with a keen attention to detail and the ability to work independently.
Preferred Qualifications
- Cloud Platforms. Experience with cloud platforms (AWS, GCP, Azure) and their AI services.
- Statistical Analysis. Knowledge of statistical analysis and data visualization tools.
- Bias Detection. Experience with bias detection and mitigation techniques.
Diversity and Inclusion
Infosys is committed to embracing diversity and creating an inclusive environment for all employees. We are an equal opportunity employer and encourage applications from individuals of all backgrounds.
Special Considerations. If you require adjustments to the recruitment and selection process due to a disability, illness, or injury, please contact our Recruitment team at [email protected].
Note. Infosys does not accept unsolicited resumes from third-party vendors. All recruitment activities must be coordinated through the Talent Acquisition department.