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AI/ML Test Engineer (AWS/GCP)

AI/ML Test Engineer (AWS/GCP)

aarushi infotech
Early Applicant
  • Posted 19 hours ago
  • Be among the first 20 applicants

Job Description

Role Overview

At present, we have two AI/ML Test Engineer (AWS/GCP) Individual Contributor positions open and would welcome suitable candidate submissions for these opportunities.

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.

Skills: aws – ec2, s3, lambda,selenium / playwright,aws sagemaker,test automation,functional, integration, regression & e2e testing,ci/cd & devops practices,ai/ml application testing,pytest / robot framework,data quality & etl testing,sql,performance, security & scalability testing,aws cloudwatch,machine learning concepts & model lifecycle,api testing – postman / rest assured,python

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