Gen AI Tester / Product Efficiency Engineer / Full Stack Engineer

Gen AI Tester / Product Efficiency Engineer Job Description

Grade : Sr. Executive

Years of Work Experience : 5-8

Work Location : Malaysia (Work from office)

Position: Contract for 1 year

Objective

The Generative AI Tester will be responsible for developing, implementing, and executing testing strategies for our generative AI applications. This role involves working closely with AI engineers, data scientists, and software developers to validate models, ensure data integrity, and maintain high-quality standards throughout the development lifecycle

Key Responsibilities

• Develop and execute comprehensive test plans and test cases for generative AI models and applications.
• Perform automated and manual testing to validate the functionality, performance, and reliability of AI models.
• Collaborate with AI engineers and data scientists to understand model architectures, data flows, and identify potential issues.
• Design and implement test scripts using appropriate testing frameworks and tools.
• Conduct data validation and verification to ensure data quality and consistency.
• Identify, document, and track bugs, issues, and discrepancies using bug tracking tools.
• Perform regression testing to ensure new features and updates do not negatively impact existing functionalities.
• Work with the DevOps team to integrate testing into the CI/CD pipeline for continuous testing and deployment.
• Analyze test results, provide detailed reports, and work with the development team to resolve issues.
• Stay updated with the latest advancements in AI testing methodologies and tools

Required Skills and Qualifications:

• Bachelors degree in Computer Science, Engineering, or a related field.
• Proven experience in testing AI/ML models and applications.
• Strong understanding of AI/ML concepts, especially generative AI models.
• Proficiency in programming languages such as Python.
• Experience with automated testing frameworks (e.g., PyTest, JUnit).
• Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of data validation techniques and tools.
• Experience with version control systems (e.g., Git).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment
• Experience with performance testing and optimization of AI models.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Understanding of MLOps practices and CI/CD pipelines.
• Experience with bug tracking and project management tools (e.g., JIRA, Trello).
• Knowledge of security testing practices for AI applications.

Gen AI Full Stack Engineer Job Description

Years of Work Experience : 5-8

Work Location : Malaysia (Work from office)

Position: Contract for 1 year

Objective

The Generative AI Full Stack Engineer will be responsible for designing, developing, and maintaining web applications that incorporate generative AI models. This role requires a strong understanding of both front-end and back-end technologies, as well as experience in deploying and integrating AI models into scalable applications.

Key Responsibilities

• Design and develop end-to-end web applications that utilize generative AI models.
• Implement and maintain front-end interfaces using modern web technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
• Develop and manage back-end services and APIs to support AI functionalities (Node.js, Django, Flask, or similar frameworks).
• Integrate generative AI models into web applications, ensuring seamless user interactions and performance.
• Collaborate with AI engineers and data scientists to understand model requirements and deployment needs.
• Implement and manage databases (SQL and NoSQL) to store and retrieve application data efficiently.
• Ensure the security, scalability, and reliability of web applications.
• Develop automated tests to ensure the quality and performance of web applications.
• Monitor application performance, troubleshoot issues, and optimize components for maximum efficiency.
• Stay updated with the latest advancements in web development and AI technologies.

Required Skills and Qualifications:

• Bachelors degree in Computer Science, Engineering, or a related field.
• Proven experience as a Full Stack Engineer with a focus on AI/ML applications.
• Proficiency in front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
• Strong experience with back-end development (Node.js, Django, Flask, or similar frameworks).
• Knowledge of AI/ML concepts and experience with AI/ML libraries (e.g., TensorFlow, PyTorch).
• Experience with database management (SQL and NoSQL).
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI services.
• Understanding of RESTful APIs and GraphQL.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving, analytical, and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.Experience with deploying AI models in production environments.
• Knowledge of DevOps practices and CI/CD pipelines.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Understanding of microservices architecture.
• Experience with performance optimization and security best practices.