APPLYING MACHINE LEARNING TO PROCESSES, NOT PEOPLE
At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.
The machine learning and data science we employ comes in several varieties: image processing, signal processing, classical supervised modeling, unsupervised methods, exploratory data analysis, and fundamental statistics and probability. As a frontend software engineer, your specific expertise as well as your motivation would be the major factors in determining your day-to-day work.
HOW WE DEFINE THE FRONTEND
Currently, we use Python’s Flask with Jinja templating to deliver visualizations and interfaces powered by HighCharts, Bootstrap and jQuery. This means that, for us, the frontend starts with Python and ends with whatever is possible in the user’s browser. We do not aim to build single page applications or dashboards, rather interfaces whose usability for process engineers is competitive with the desktop applications that have been battle tested for decades.
ABOUT THE JOB
QUALIFICATIONS THAT CATCH OUR EYE