Senior Software Engineer QA
Senior Software Engineer QA
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Job Description
A Senior Software Engineer QA is a multifaceted professional who combines expertise in data science artificial intelligence and quality assurance to ensure the development and deployment of highquality AI/ML solutions. This role requires a blend of mathematical/statistical knowledge computer science skills and a deep understanding of QA processes and methodologies.
A Senior Software Engineer QA will verify AI/ML models designing and managing evaluation frameworks to test model performance ensuring data quality and fabricating synthetic data when needed. QA professionals collect and analyze results using probability studies and drift detection to monitor and maintain model reliability over time. This comprehensive approach ensures that AI/ML models deliver consistent highquality responses that meet business requirements and adapt to changing data conditions.
QAs work with both the QA Leader and AI / ML development team to ensure that all aspects of testing support and test coverage are included in the testing plans. They monitor every phase of the development process to ensure that the design and software adhere to company standards.
Qualifications :
Experience: Minimum 3 years of experience in QA and testing complex AI nondeterministic systems and the mathematics behind the solutions.
Education: Preferably a master degree or equivalent in Computer Science Engineering or related field.
Technical Skills:
- Proficiency in one or more programming/scripting languages (Python Java SQL preferably JavaScript).
- Strong understanding of automated testing tools and frameworks (preferably Cypress Selenium Appium JUnit TestNG etc.).
- Experience with API testing tools (Postman SoapUI).
- Solid understanding of CI/CD pipelines and tools (Jenkins GitLab CI CircleCI).
- Familiarity with cloud computing platforms (Google Cloud Platform AWS Azure).
- Experience with agile methodologies and tools (JIRA Confluence).
- Knowledge of version control systems (Git).
Work Methodologies:
- Able to work in an Agile environment with development cycles demos retrospectives code reviews and backlog grooming.
- Strong analytical and problemsolving skills with a proactive mindset.
- Attention to detail and a commitment to deliver highquality work.
Languages: Fluency in English is mandatory.
Additional Information :
We believe that coming together as a community in person is important for innovation connection and fostering a sense of belonging. Our roles have the right balance of remote and inoffice working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
