Artificial Intelligence- QA
INR 2092K-2829K (estimate) Senior-level Full Time
Tasks
- Adhere to unit testing practices
- Apply responsible AI testing practices
- Collaborate with cross-functional teams
- Conduct AI model testing and validation
- Conduct prompt engineering and LLM evaluation
- Define testing governance frameworks
- Design test automation solutions
- Develop testing strategies
- Establish quality gates
- Execute functional testing
- Execute performance testing
- Identify and resolve defects
- Implement CI/CD pipelines
- Implement secure coding practices
- Improve testing processes
- Manage test reporting and quality metrics
- Perform API testing
- Perform UI testing
- Perform code reviews
- Perform mobile testing
- Run NLP quality assurance
- Run NLU testing strategies
- Test RAG with vector databases
- Validate functionality and performance
- Validate user experience
Perks/Benefits
- N/A
Skills/Tech-stack
ALM | AWS Bedrock | AWS Lambda | Agentic AI | Agile | Amazon CloudWatch | BDD | Behavior-Driven Development | CI/CD | DeepEval | DevOps | Docker | Generative AI | Git | GitLab CI | Jenkins | Jira | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Language Understanding | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Natural Language Understanding | Prompt engineering | Python | Ragas | Retrieval-Augmented Generation | SDLC | Scrum | Secure Coding | Test Management | TestRail | Unit Testing | Vector Databases | Xray
Education
N/A
Roles
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