QA Engineer Machine Learning / AI
Location: Austin TX - Day 1 Onsite
Duration: Long term contract
Key Responsibilities:
- Design and execute manual and automated test cases for applications integrating ML models
- Validate model inputs outputs and data processing pipelines
- Perform functional regression API and integration testing
- Evaluate ML model performance using defined metrics and test datasets
- Identify issues related to data quality model accuracy drift and bias
- Develop automation scripts for test validation and data verification
- Collaborate with Data Scientists and Engineers to support model releases
- Document defects test results and quality reports
Required Skills:
- Strong foundation in software QA methodologies and test automation
- Experience with API testing and backend validation
- Basic understanding of Machine Learning concepts and model evaluation metrics
- Proficiency in Python and SQL for data and output validation
- Familiarity with CI/CD processes and version control tools
Preferred Qualifications:
- Experience testing AI/ML-based applications
- Knowledge of MLOps tools or ML frameworks (e.g. TensorFlow PyTorch MLflow)
- Understanding of data bias fairness and model monitoring
QA Engineer Machine Learning / AI Location: Austin TX - Day 1 Onsite Duration: Long term contract Key Responsibilities: Design and execute manual and automated test cases for applications integrating ML models Validate model inputs outputs and data processing pipelines Perform functional regres...
QA Engineer Machine Learning / AI
Location: Austin TX - Day 1 Onsite
Duration: Long term contract
Key Responsibilities:
- Design and execute manual and automated test cases for applications integrating ML models
- Validate model inputs outputs and data processing pipelines
- Perform functional regression API and integration testing
- Evaluate ML model performance using defined metrics and test datasets
- Identify issues related to data quality model accuracy drift and bias
- Develop automation scripts for test validation and data verification
- Collaborate with Data Scientists and Engineers to support model releases
- Document defects test results and quality reports
Required Skills:
- Strong foundation in software QA methodologies and test automation
- Experience with API testing and backend validation
- Basic understanding of Machine Learning concepts and model evaluation metrics
- Proficiency in Python and SQL for data and output validation
- Familiarity with CI/CD processes and version control tools
Preferred Qualifications:
- Experience testing AI/ML-based applications
- Knowledge of MLOps tools or ML frameworks (e.g. TensorFlow PyTorch MLflow)
- Understanding of data bias fairness and model monitoring
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