Experience : 5- 7 years
Requirements :
- Bachelor's/Master's degree in Computer Science or related field.
- 5-6 years of experience in software quality assurance.
- Good understanding of Generative AI tools and platforms - especially LLMs.
- Foundation Knowledge of Gen-AI concepts, technologies, tools and frameworks
- Basic understanding of LLM models, prompt engineering, and some exposure to AI Art models and tools
- Solid knowledge of software testing methodologies, tools, and processes.
- Excellent analytical and problem-solving skills.
- Effective communication and collaboration skills.
- Proven ability to lead and mentor team members.
- Ability to lead quality assurance for data-driven and data-intensive apps and solutions
- Performing thorough data validation and verification to ensure accuracy and consistency of data. This includes developing and executing test plans, scripts, and tools for data verification.
- Build and execute test plans for workflow driven apps and solutions, and pipeline automation solutions
- Developing and implementing automated testing tools and frameworks to streamline QA processes. Optimize testing procedures for efficiency and effectiveness.
implementation.
- Experience with testing game environments, and game developments is an advantage (nice-to-have)
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