[Hiring] Senior AQA Engineer @Avenga x Qinshift
Mar 16, 2025 - Avenga x Qinshift is hiring a remote Senior AQA Engineer. đź’¸ Salary: unspecified. đź“ŤLocation: Ukraine.
Role Description
We are seeking a Senior AQA Engineer 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:
- 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.
Qualifications
- 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.
Requirements
- 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.
Company Description
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| đź“Ť | Be aware of the location restriction for this remote position: Ukraine |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
|
Salary
đź’¸
unspecified
|
Remote
Location
Ukraine
|
|
Job Type
unspecified
|
Posted
Mar 16, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: Ukraine |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
