Senior Test Specialist
HCLTech
Senior Test Specialist
About this role
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.
Frequently Asked Questions
Is the salary disclosed for the Senior Test Specialist position at HCLTech?
The salary for this Senior Test Specialist role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Test Specialist position at HCLTech located?
This Senior Test Specialist role at HCLTech is based in Bengaluru, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Test Specialist position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Senior Test Specialist job at HCLTech posted?
This Senior Test Specialist position at HCLTech was posted on Sep 15, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Test Specialist
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.