AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com
We are a Series C climate tech startup 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 climate 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
We are seeking a highly skilled Staff ML Ops Engineer to join our Data Science team in Bengaluru, India. In this role, you will be responsible for ensuring the quality and reliability of our AI/ML models and systems. You will work closely with data scientists, ML engineers, and software developers to design, implement, and execute comprehensive test strategies. Your work will directly impact the robustness and performance of our AI solutions.
How you'll make an impact:
What we're looking for:
Preferred Qualifications:
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.
We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.
Staff ML Ops Engineer • Bengaluru / Bangalore, India
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