Posted on: 06/08/2025
Responsibilities :
- Design, develop, and execute test plans and test cases for AI modules.
- Collaborate with the development team to understand AI algorithms and their implementation.
- Perform functional, regression, and performance testing on AI models and systems.
- Identify, document, and track defects and inconsistencies in AI modules.
- Develop automated test scripts to improve testing efficiency.
- Analyze test results and provide detailed reports to stakeholders.
- Ensure compliance with industry standards and best practices in AI testing.
- Continuously improve testing processes and methodologies.
Requirements :
- Bachelor's degree in computer science, Engineering, or equivalent.
- 4+ years of proven experience in software testing, with a focus on AI modules.
- Strong understanding of AI and machine learning concepts.
- Proficiency in programming languages such as Python, Java.
- Experience with testing frameworks and tools (e. g., Selenium, BDD Cucumber).
- Familiarity with AI/ML libraries and frameworks (e. g., TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Attention to detail and a commitment to quality.
Good to have :
- Knowledge about testing of Retrieval Augmented Generation pipelines, Agentic AI workflows, and concepts like Agent to Agent and Model Context Protocol.
- Knowledge of evaluation metrics like BLEU, ROUGE, METEOR, BERTScore, and COMET.
- Experience with cloud platforms (e. g., AWS, Azure, Google Cloud).
- Knowledge of data science and statistical analysis.
- Certification in software testing or AI/ML.
- Must have experience in : Java/ Python, Test Automation, AI/ML(TensorFlow, PyTorch), RAG, Cloud (AWS Preferred).
- Openness to learn and switching between programming languages and technologies as needed for the service development.
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Posted in
Quality Assurance
Functional Area
QA & Testing
Job Code
1525690
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