Nallas Corporation - Quality Assurance Automation Engineer (3-6 yrs)

Company Description :

Nallas is a software services company that values effective use of technology, purposeful engagement models, and adaptive methodologies to create value for clients.

The company combines technology expertise, superior delivery capabilities, and domain know-how to enhance customer business outcomes.

Using the global delivery platform value Scope, Nallas helps clients achieve faster time-to-market, improved business-IT alignment, and measurable business outcomes in a progressive and transparent environment.

Job Title : QA Automation Engineer with Generative AI.

Location : Remote.

Employment Type : Full-Time.

About Us :

We are a forward-thinking organization leveraging cutting-edge technologies to deliver innovative solutions.

Our team thrives on collaboration, creativity, and technical excellence.

We are currently seeking a QA Automation Engineer with expertise in Generative AI to enhance our testing frameworks and ensure the quality of AI-driven applications.

Responsibilities :

- Design, develop, and maintain automated test frameworks and scripts for Generative AI applications.

- Collaborate with AI developers, data scientists, and product teams to understand application requirements and edge cases.

- Validate the performance, accuracy, and reliability of AI models and systems.

- Implement test strategies for AI/ML pipelines, including data preprocessing, model training, and inference.

- Perform API testing, integration testing, and end-to-end testing for AI applications.

- Identify, document, and track defects, ensuring timely resolution.

- Stay updated with the latest trends in QA automation and Generative AI to integrate best practices.

Required Skills and Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 3+ years of experience in QA automation engineering.

- Proven experience with Generative AI models, frameworks, and libraries (e., GPT, Stable Diffusion, or similar).

- Proficiency in programming languages such as Python, Java, or JavaScript.

- Experience with automation tools like Selenium, Appium, or Cypress.

- Familiarity with machine learning frameworks (e., TensorFlow, PyTorch, Hugging Face).

- Strong understanding of testing methodologies, frameworks, and best practices.

- Hands-on experience with API testing tools (e., Postman, REST Assured).

- Knowledge of CI/CD pipelines and version control systems (e., Jenkins, Git).

Preferred Skills :

- Experience in testing AI/ML pipelines or data workflows.

- Understanding of cloud platforms like AWS, Azure, or Google Cloud.

- Knowledge of containerization and orchestration tools like Docker and Kubernetes.

- Familiarity with ethical considerations and bias testing in AI models.