This is us
At Qinshift and Avenga we are merging together to start a new era of technology that matter. Leveraging the power of innovations, we are on a journey to shape the future of work, and we are inviting you to co-create it with us.
This is the job
Our client is a leading tech company specializing in data-driven solutions for digital advertising and AI analytics. They provide scalable, high-performance data platforms for real-time decision-making, leveraging AI and machine learning to optimize marketing strategies.
We are seeking a Senior AQA Enginner to join our team and lead testing efforts for our AI-driven products and Enterprise Data Platforms. This is a high-impact role where you will define testing strategies, build automation frameworks, and mentor QA engineers while working closely with cross-functional teams.
This is you
- 7+ years of experience as an AQA Engineer or SDET in complex data-driven environments.
- Strong programming and automation skills in Python and SQL.
- Expertise in testing Data-Intensive Applications and AI/ML models.
- Hands-on experience with databases like Postgres and data warehouses like Snowflake.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Proven ability to lead QA efforts and mentor engineers in best practices.
- Experience working in cross-functional teams including Data Science, Engineering, and Product.
- Familiarity with CI/CD pipelines and test automation tools.
- Knowledge of AI fairness, explainability, and model validation techniques.
- Experience with Version Control Systems (VCS) like GitHub or GitLab.
Nice-to-have skills:
- Hands-on experience with PyTorch, NumPy, and Pandas for data validation.
- Experience with Google Gemini and Vertex AI for AI model evaluation.
- Familiarity with Looker and LookML for data analytics validation.
- Knowledge of CI/CD pipelines and test automation frameworks for ML workflows.
- Exposure to AdTech or data-intensive applications.
This is your role
- Lead quality assurance efforts for AI/ML-based applications and Enterprise Data platforms.
- Design, develop, and maintain automated test frameworks using Python.
- Develop and execute comprehensive test plans for ML models, ensuring accuracy, fairness, and robustness.
- Validate data pipelines and ETL processes, working with Postgres, Snowflake, and Looker.
- Collaborate with Data Engineers, ML Engineers, and Product teams to define quality metrics.
- Identify, analyze, and document defects, ensuring timely resolution.
- Establish best practices for QA automation, CI/CD pipelines, and test data management.
- Mentor and guide junior QA engineers, fostering a culture of quality.
- You should be ready to perform not only automation but also manual testing and leadership (however, the focus is on the automation).
- Expect the candidate to work in their time zone until noon or 1 PM PT.
We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.
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