We are a crazy ambitious group of engineers on a quest to build worlds most powerful prediction engine, starting off with the energy & utilities and heavy industry sectors. The engine allows us to rapidly develop software solutions that predict failures of mission-critical equipment weeks or months before they actually happen, or uncover underperformance of assets. All these endeavours help our customers make renewable energy a cheaper and more reliable alternative.
If you need to always perform the similar analyses on datasets, shouldn’t it be automated? At Jungle we realize that one the most precious resources is the time of our engineers. Therefore, we always strive to develop tools that automate, integrate and optimize parts of machine learning projects.
To help our data science teams solve industry-changing problems, we have been developing several internal tools especially tailored at time-series analysis. They help us explore and visualise data, performing quick checks on them, automatically extracting features, all irrespective of the size of the data set. As a Senior Software Engineer at Jungle you will maintain and further improve these current tools and will be the main driver for the ones to come. On a day-to-day basis you will interact with our data scientists, understanding their needs and challenges and drafting awesome ideas for the next functionalities of our tools.
If you are a software developer with an interest in understanding machine learning, look no further! Your work at Jungle will expose you to a vast amount of machine learning concepts and algorithms. As you will be working on the tools that enable rapid iterations in machine learning, you will quickly learn all the boundary conditions needed to make this possible!
Why do we need you?
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If this job description brought a smile on your face and you can definitely see yourself working as a Data Scientist at Jungle, then we’d love to hear from you. If you have any questions on Jungle or this job posting, please don’t hesitate to shoot us an email at firstname.lastname@example.org.