QA Engineer

Technical Responsibilities:

Test the accuracy,   performance, and usability of speech recognition models and systems, ensuring   they understand a wide variety of accents, dialects, and languages in   real-world environments.

Lead the test design and test   execution to verify software components in alignment with requirements and   architecture defined.

Develop test strategy to  verify complex systems independently. 

Document and report bugs   found during testing, collaborate with the development team for resolutions,   and perform regression testing to ensure fixes are effective.

Ability to influence teams to   achieve project quality objectives.

Work closely with cross-functional   teams to understand system requirements and ensure test coverage aligns with  business needs.

Knowledge of Agile/Scrum   methodologies.

Technical Skills:

Strong knowledge of speech recognition technologies and APIs (Microsoft Azure Speech or similar).

Experience with test automation methodologies like TestNg framework.

Familiarity with machine  learning models and how they apply to speech recognition systems.

Understands the theory and methods of testing on-prem/cloud  applications and can apply them under minimal supervision while  demonstrating:

Ability to create and implement testing methods, recording the test results and prepare test metrics.

Capability to test all aspects of the product/system including function/component, system,  performance, regression and service. Strong analytical skills  and ability to formulate test documentation (e.g. testing protocols, test  reports) skills.

Good communication skills and ability to work in Agile development  environments.

JIRA experience is must. 

Working knowledge of Azure/cloud environments, including cloud

  services, deployment models, and application testing considerations.

Ability to rapidly learn new  technologies, processes, and business context while contributing productively in a fast-paced environment.

MINIMUM

  QUALIFICATIONS: What you will need (must have):

EDUCATION REQUIREMENTS

Bachelor’s degree in software engineering/ computer

  science or related discipline & 10+ years of relevant work experience.