Gen AI tester with NLP knowledge Full-time

Job Description

Infosys is seeking a GEN AI Tester with NLP Knowledge,

As a GEN AI Test Lead, you will act as a validation and quality assurance expert and review the functionality of existing systems. You will conduct requirement analysis, define test strategy & design and lead execution to guarantee superior outcomes. Should be able to execute JCL jobs and query in DB2, understand different file types for processing and provide KT sessions if required. You will have the opportunity to collaborate with some of the best talent in the industry to create innovative high quality and defect-free solutions to meet our clients’ business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Design and develop generative AI models specifically for testing applications, such as automated test case generation, test data synthesis, and anomaly detection.
• Experience with automated testing tools and frameworks.
• Collaborate with QA engineers, software developers, and other stakeholders to integrate AI-driven testing solutions into the development lifecycle.
• Knowledge of software development and testing methodologies.
• Understanding of natural language processing (NLP) and its applications in testing.
• Lead research initiatives to explore and implement cutting-edge generative AI techniques in the testing domain.
• Optimize AI models for performance, scalability, and accuracy in testing scenarios.
• Stay abreast of the latest advancements in AI and machine learning, applying relevant innovations to improve testing methodologies.
• Mentor and guide junior AI engineers and data scientists in the testing domain.
• Communicate complex AI concepts and solutions to non-technical stakeholders, particularly in the context of testing.
Familiarity with data engineering and big data technologies.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• Candidate must be located within commuting distance of Plano Texas or be willing to relocate to these areas. This position may require travel in the US and Canada.
• Knowledge and experience with full SDLC lifecycle
• Experience with Lean / Agile development methodologies

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

Employee will also be eligible for the following benefits:
• Medical/Dental/Vision/Life Insurance.
• Long-term/Short-term Disability.
• Health and Dependent Care Reimbursement Accounts.
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal).
• 401(k) plan and contributions dependent on salary level.
• Paid holidays plus Paid Time Off.

EEO/About Us

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.