# QA Architect - R01571456 at Brillio

> India · Staff · QA / Test · open. Source: https://alderhq.app/jobs/lever%3Abrillio-2%3Ae717b34c-e4de-4ffe-bff0-b9df05bc7714 (read 2026-11-06).

## Facts (observed)

- Company: [Brillio](https://alderhq.app/companies/brillio)
- Location text: Bangalore, Karnataka, India
- Where it can be done from (inferred): India (evidence: "Location lists "bangalore"")
- Posted: 2026-10-06 (31 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/brillio-2/e717b34c-e4de-4ffe-bff0-b9df05bc7714
- Skills listed (inferred): Python, PyTorch, TensorFlow, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 16, median offered wage $116k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

QA Architect

### Job requirements

Experience Range: With at least 7 years of quality assurance experience, including substantial hands-on work with data science and machine learning testing frameworks Key Responsibilities:

- Design and implement automated testing strategies for AI and data science outputs, ensuring accuracy and reliability across models and pipelines
- Develop and maintain robust evaluation and validation frameworks for backend and frontend components, leveraging statistical and machine learning techniques
- Collaborate with data scientists and engineers to define test cases, hypotheses, and statistical metrics for model assessment and improvement
- Integrate advanced statistical tests such as T-Test, Z-Test, and regression analyses into automated QA workflows to validate model performance
- Utilize tools like Great Expectations, Evidently AI, and specific machine learning frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet) to monitor, track, and report on model drift, anomalies, and forecast accuracy
- Optimize testing processes for scalability and efficiency using Python, PySpark, R, and related technologies in large-scale data environments
- Configure and manage testing infrastructure using platforms such as KubeFlow and BentoML to streamline deployment and evaluation cycles
- Troubleshoot and resolve issues in automated testing pipelines, driving continuous improvement and high-quality deliverables
### Required Skills

- Advanced proficiency in Python and PySpark for test automation and statistical analysis
- Expertise in statistical testing methods including Hypothesis Testing, T-Test, Z-Test, and Regression (Linear, Logistic)
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet
- Hands-on knowledge of Great Expectations and Evidently AI for data validation and monitoring
- Proficiency in SAS and SPSS for statistical computing and analysis
- Deep understanding of probabilistic graph models and classification algorithms including Decision Trees and SVM
- Experience with forecasting techniques including Exponential Smoothing, ARIMA, and ARIMAX
- Familiarity with distance metrics such as Hamming, Euclidean, and Manhattan Distance
- Advanced skills in R and R Studio for statistical modeling and QA scripting
- Experience configuring testing platforms such as KubeFlow and BentoML
### Preferred Skills

- Experience automating evaluation pipelines for AI/ML in production environments
- Expertise in integrating QA processes with CI/CD workflows and cloud-native architectures
- Knowledge of emerging ML testing tools and frameworks beyond industry standards
- Ability to develop custom statistical metrics for model evaluation
- Experience with QA automation for distributed systems at scale
### Desired Qualifications

- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a quantitative discipline
- Certification in Quality Assurance, Data Science, or Machine Learning (e.g., ISTQB Advanced Test Analyst, TensorFlow Developer Certificate)
- Certification in statistical analysis tools or platforms (e.g., SAS Certified Specialist, SPSS Certification)

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Abrillio-2%3Ae717b34c-e4de-4ffe-bff0-b9df05bc7714 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.