The Platform ML team at AiDASH is the core team for model deployments at scale and validation of model performance. All the product offerings within AiDASH are powered by ML models which process geospatial, ellite imagery and weather data. The SDET-3 will be responsible for validating the functional as well as scaling aspects of model performance.

How you ll make an impact: This is a high visibility and a critical role at AiDASH as ML models form the basis of most of our product offerings and the success of organization hinges upon the quality of the models and their performance at scale in real world applications.

What were looking for:

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 6-8 years in Testing + Backend Automation (restassured-java / python-pytest)
Good with testing fundamentals and best practices
Experience in ML application testing is desired
Candi should be good at coding (java/python), should be proficient in python or java and willing to learn other languages on need basis
Should have good understanding of backend system design and exposure to databases (sql/nosql), at least one is mandatory.
Should know the details of application deployment and underlying orchestration
Understanding of CI/CD pipelines
Exposure to performance testing is a must have
Exposure to usage of prompt-based IDE like Cursor

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SDET - 3 (AI/ML Testing)