Hybrid SDET III, AI/ML Testing

Posted last month

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About the role

  • Validate functional aspects of ML models and their performance at scale
  • Validate scaling aspects of model performance in real-world applications
  • Test ML models that process geospatial, satellite imagery, and weather data
  • Design and execute test strategies for model deployments at scale
  • Develop and maintain backend automation tests (restassured, Java, Python, pytest)
  • Perform performance and scalability testing and analysis
  • Collaborate with the Platform ML team to deploy and validate models in production
  • Review deployment, orchestration, CI/CD, and database interactions relevant to model performance

Requirements

  • Experience 6-8 years in Testing + Automation
  • Good with testing fundamentals and best practises
  • Experience in ML application testing is desired
  • Exposure to usage of prompt-based editor (good to have)
  • Experience in Backend Automation (restassured-java or python-pytest)
  • Proficient in coding (Java and/or Python) and willing to learn other languages
  • Good understanding of backend system design and exposure to databases (SQL/NoSQL), at least one mandatory
  • Knowledge of application deployment and underlying orchestration
  • Understanding of CI/CD pipelines (good to have)
  • Exposure to performance testing (must have)
  • Exposure to prompt-based IDE like Cursor (good to have)

Job title

SDET III, AI/ML Testing

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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