Bengaluru, Karnataka

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.

Valuable 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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📌 Senior Test Specialist (Bengaluru)
🏢 HCLTech
📍 Bengaluru