SDET - 3 (AI/ML Testing)
AiDash
About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
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, satellite 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 we're looking for:
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Experience 6-8 years in Testing + Automation
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Good with testing fundamentals and best practises
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Experience in ML application testing is desired, Exposure to usage of prompt-based editor (good to have)
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Experience 6-8 years in Testing + Backend Automation (restassured-java/python-pytest)
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Good with testing fundamentals and best practices
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Experience in ML application testing is desired
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Candidate should be good at coding (java/python), should be proficient in python or java and willing to learn other languages on need basis
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Should have good understanding of backend system design and exposure to databases (sql/nosql), at least one is mandatory.
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Should know the details of application deployment and underlying orchestration
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Understanding of CI/CD pipelines
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Exposure to performance testing is a must have
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Exposure to usage of prompt-based IDE like Cursor
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
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