Software Engineer / Software Engineeress

Job Opportunity at Spur Insights

Spur Insights, located in Zurich, Switzerland, specializes in developing data science, machine learning, and AI solutions that enhance the efficiency and reliability of industrial processes and machinery. Our innovative solutions are utilized by clients in over 100 countries, supporting manufacturing operations across various industries including plastics, electronics, and converting.

Based in our central Zurich office, the Spur Insights Data Science team collaborates closely with clients' engineering teams. We are seeking a talented individual to join our team of data scientists, where you'll develop and implement back-end and machine-based solutions to efficiently visualize data and insights derived from sophisticated data science algorithms.

Your Key Responsibilities

• Update our existing solutions to leverage recent advances in edge-based compute infrastructures, particularly utilizing Docker.
• Support the development of computationally efficient data science algorithms.
• Design and implement system architectures for stand-alone, web-based analytics systems, APIs, and back-end integrations, adhering to industry standards such as OPC/UA.
• Integrate data science algorithms into industrial machines using runtime environments.
• Take a hands-on approach to ensure solutions reach product readiness by collaborating with external vendors, suppliers, and other stakeholders.

About You

We encourage applications from candidates who are eager to learn about industrial machine engineering, possess strong communication skills, and are motivated to develop products from end to end—from algorithm and architecture design to implementation and launch.

The Ideal Candidate

• Experience with DevOps practices and containerization tools such as Docker.
• Familiarity with web hosting infrastructure and cloud platforms such as GCP, AWS, or Azure.
• A basic understanding of current data science algorithms and the ability to write high-quality code in Python, C, and Java.

Apply online using the form below. Please note that only applications matching the job profile will be considered.