Jua.ai

HQ
Schwyz, CHE
Total Offices: 2
42 Total Employees
Year Founded: 2022

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Jobs at Jua.ai

Search the 5 jobs at Jua.ai

Recently posted jobs

13 Hours Ago
Zürich, CHE
Artificial Intelligence • Software
The Energy Meteorologist will evaluate forecast accuracy of weather models, work with data scientists to integrate meteorological insights, conduct detailed case studies on extreme weather events and their implications for energy markets, and communicate findings to stakeholders.
Yesterday
Zürich, CHE
Artificial Intelligence • Software
Develop and improve scalable ETL pipelines in the cloud, process various data types, enhance a data warehouse for weather modeling, and ensure performance and high availability. Collaborate in an agile environment and test new approaches while handling large data volumes.
5 Days Ago
Cape Town, Western Cape, ZAF
Remote
Artificial Intelligence • Software
As a Senior Back-End Software Engineer, you will lead the development of web application prototypes and server infrastructure, working on a machine learning weather forecasting system. Responsibilities include collaborating in a remote team, designing and deploying critical features like APIs and CI/CD pipelines, and driving project progress.
6 Days Ago
Zürich, CHE
Artificial Intelligence • Software
The Senior Account Executive will drive sales for Jua.ai, focusing on utilizing groundbreaking AI technology to generate revenue growth. Responsibilities include identifying sales opportunities, engaging clients through various channels, and articulating the value proposition of new products. Travel within Europe may be required to connect with clients and prospects.
Artificial Intelligence • Software
The Pre-Sales Engineer role at Jua involves demonstrating the AI-powered weather forecasting platform's impact on weather-dependent energy trading. Responsibilities include leading technical sales processes, developing customer-specific workflows, and serving as a key advisor during engagements. The role demands collaboration with sales and engineering teams, along with a customer-centric approach to convey complex technical concepts clearly to non-technical clients.