Senior Test Specialist
Bengaluru · Senior
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Job description
Job Summary
AI/ML Test Engineer (AWS/GCP) – Key Responsibilities
- Design and execute test strategies for AI/ML applications and data pipelines.
- Validate machine learning model performance, accuracy, robustness, and reliability.
- Perform functional, integration, regression, API, and end-to-end testing.
- Develop and maintain automated test frameworks using Python and modern testing tools.
- Test AWS-based AI/ML solutions, including SageMaker and Bedrock deployments.
- Verify data quality, model inputs/outputs, and ETL processes.
- Conduct performance, security, and scalability testing.
- Monitor production AI systems for model drift and performance degradation.
- Collaborate closely with Data Scientists, ML Engineers, Developers, and DevOps teams.
Required Skills
- Strong experience in Software Testing and Test Automation.
- Proficiency in Python and SQL.
- Experience with Selenium, Playwright, PyTest, or Robot Framework.
- Good understanding of Machine Learning concepts and model lifecycle.
- Hands-on experience with AWS services such as EC2, S3, Lambda, SageMaker, and CloudWatch.
- Experience in API testing using Postman or REST Assured.
- Understanding of CI/CD pipelines and DevOps practices.
Preferred Skills
- Experience testing Generative AI solutions and Large Language Models (LLMs).
- Knowledge of AWS Bedrock, MLOps, and Responsible AI practices.
- Exposure to performance testing tools and cloud-native testing approaches.
- Familiarity with Agile/Scrum methodologies.
Key Responsibilities
AI/ML Test Engineer (AWS/GCP) – Key Responsibilities
- Design and execute test strategies for AI/ML applications and data pipelines.
- Validate machine learning model performance, accuracy, robustness, and reliability.
- Perform functional, integration, regression, API, and end-to-end testing.
- Develop and maintain automated test frameworks using Python and modern testing tools.
- Test AWS-based AI/ML solutions, including SageMaker and Bedrock deployments.
- Verify data quality, model inputs/outputs, and ETL processes.
- Conduct performance, security, and scalability testing.
- Monitor production AI systems for model drift and performance degradation.
- Collaborate closely with Data Scientists, ML Engineers, Developers, and DevOps teams.
Required Skills
- Strong experience in Software Testing and Test Automation.
- Proficiency in Python and SQL.
- Experience with Selenium, Playwright, PyTest, or Robot Framework.
- Good understanding of Machine Learning concepts and model lifecycle.
- Hands-on experience with AWS services such as EC2, S3, Lambda, SageMaker, and CloudWatch.
- Experience in API testing using Postman or REST Assured.
- Understanding of CI/CD pipelines and DevOps practices.
Preferred Skills
- Experience testing Generative AI solutions and Large Language Models (LLMs).
- Knowledge of AWS Bedrock, MLOps, and Responsible AI practices.
- Exposure to performance testing tools and cloud-native testing approaches.
- Familiarity with Agile/Scrum methodologies.
Skill Requirements
AI/ML Test Engineer (AWS/GCP) – Key Responsibilities
- Design and execute test strategies for AI/ML applications and data pipelines.
- Validate machine learning model performance, accuracy, robustness, and reliability.
- Perform functional, integration, regression, API, and end-to-end testing.
- Develop and maintain automated test frameworks using Python and modern testing tools.
- Test AWS-based AI/ML solutions, including SageMaker and Bedrock deployments.
- Verify data quality, model inputs/outputs, and ETL processes.
- Conduct performance, security, and scalability testing.
- Monitor production AI systems for model drift and performance degradation.
- Collaborate closely with Data Scientists, ML Engineers, Developers, and DevOps teams.
Required Skills
- Strong experience in Software Testing and Test Automation.
- Proficiency in Python and SQL.
- Experience with Selenium, Playwright, PyTest, or Robot Framework.
- Good understanding of Machine Learning concepts and model lifecycle.
- Hands-on experience with AWS services such as EC2, S3, Lambda, SageMaker, and CloudWatch.
- Experience in API testing using Postman or REST Assured.
- Understanding of CI/CD pipelines and DevOps practices.
Preferred Skills
- Experience testing Generative AI solutions and Large Language Models (LLMs).
- Knowledge of AWS Bedrock, MLOps, and Responsible AI practices.
- Exposure to performance testing tools and cloud-native testing approaches.
- Familiarity with Agile/Scrum methodologies.
Other Requirements
AI/ML Test Engineer (AWS/GCP) – Key Responsibilities
- Design and execute test strategies for AI/ML applications and data pipelines.
- Validate machine learning model performance, accuracy, robustness, and reliability.
- Perform functional, integration, regression, API, and end-to-end testing.
- Develop and maintain automated test frameworks using Python and modern testing tools.
- Test AWS-based AI/ML solutions, including SageMaker and Bedrock deployments.
- Verify data quality, model inputs/outputs, and ETL processes.
- Conduct performance, security, and scalability testing.
- Monitor production AI systems for model drift and performance degradation.
- Collaborate closely with Data Scientists, ML Engineers, Developers, and DevOps teams.
Required Skills
- Strong experience in Software Testing and Test Automation.
- Proficiency in Python and SQL.
- Experience with Selenium, Playwright, PyTest, or Robot Framework.
- Good understanding of Machine Learning concepts and model lifecycle.
- Hands-on experience with AWS services such as EC2, S3, Lambda, SageMaker, and CloudWatch.
- Experience in API testing using Postman or REST Assured.
- Understanding of CI/CD pipelines and DevOps practices.
Preferred Skills
- Experience testing Generative AI solutions and Large Language Models (LLMs).
- Knowledge of AWS Bedrock, MLOps, and Responsible AI practices.
- Exposure to performance testing tools and cloud-native testing approaches.
- Familiarity with Agile/Scrum methodologies.
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