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Unit8 SA is seeking an experienced Foundry Engineer to join our Swiss AI and data analytics practice. You will design, build and maintain robust data solutions on the Foundry platform, solving real-world client challenges.
You will collaborate with software engineers and ML experts in cross-functional teams, travel up to 10% and contribute to continuous learning and pro-bono projects. The role offers flexibility in where you work and opportunities to evolve with cutting-edge data and analytics
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 300 projects and have grown to 150+ talented individuals across 5 office locations.
Unit8’s mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and “engineering for good” causes.
As a core member of our agile project teams, you will be responsible for designing, building, and maintaining robust data solutions and infrastructure. You will work on cutting-edge data and AI topics, leveraging the full potential of the Foundry platform to solve real-world business problems for our clients.
Your responsibilities will include:
We are looking for an experienced Foundry Engineer with a passion for data and solving complex client challenges. You should be a skilled professional who has:
* Foundry Platform Knowledge
* Programming Skills - proficiency in Python and PySpark.
* Data Skills (Nice-to-have) - knowledge of data modeling and basic concepts of data science (classification, clustering, regression).
* Professional Experience
* Other