Who we are
We are Ferritico, a Swedish machine learning software company disrupting the global steel industry. Based on more than 10 years of leading KTH steel research we are developing machine learning steel properties and process simulation SaaS. The Ferritico service digitalizes the processes of developing, manufacturing and implementing steel, helping our customers to significantly cut time and costs.
We aggregate large sets of steel properties and process data and apply physical-based and machine learning models enabling our customers to predict and view correlations in data when optimizing materials, products and processes. Ferritico is well funded through support from i.a. EIT and Vinnova although already generating revenues. Ferritico is currently strengthening the team with a Data Scientist as a consequence of increased development and service demand.
The Opportunity
This employment constitutes a unique opportunity to join the Ferritico team in central Stockholm. As a Data Scientist you will be given a lot of responsibility and autonomy in developing our databases and machine learning software and to deploy it in the Ferritico module-based SaaS. As we are still a small team, you will be given a unique opportunity to shape the digitalization of the steel industry by:
Managing and organizing the collection of data and cleaning of databases in collaboration with our materials engineers
Developing machine learning models and deploy these as micro services with OpenFaas on EKS
Designing and developing web application modules that consume the machine learning models and present the simulation results in a graphical user interface
Developing and maintaining the Ferritico SaaS dashboard from where customers are authenticated and authorized for simulation module access according to customer license agreement
Validating and benchmarking machine learning models
Maintaining and monitoring models in production and support customers in performing model simulations
You are passionate
about developing result-focused and innovative machine learning solutions. You embrace new technology and the opportunity to contribute to and learn from related competence fields while taking responsibility for your deliverables.
Requirements:
Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Fluent in written and spoken English
Experience with at least one programming language, preferably Python and libraries Pandas, Scikit-Learn etc., and SQL databases.
Web development using React, TypeScript and Bootstrap
Experience from using AWS hosting solutions, e.g. OpenFaas and EKS
Rigorous attention to detail and focus on quality of deliverables
Ambitious and independent self-learner with genuine interest for data, machine learning and web development
Meriting skills:
Interest in or experience from materials engineering and especially the steel industry.
Happy to communicate with customers, outline their processes and propose machine learning solutions
Data collection automation, e.g. information retrieval and information extraction using machine learning.
Data pooling and collaboration, e.g. using a Federated Learning approach
This job comes with several perks and benefits