Software Engineer / Software Engineeress

Join Spur Insights

Spur Insights, based in Zurich, Switzerland, specializes in developing cutting-edge data science, machine learning, and AI solutions to enhance the efficiency and reliability of industrial processes and machinery. Our innovative solutions are utilized by clients across more than 100 countries, supporting manufacturing operations in sectors such as plastics, electronics, and converting.

About the Role

From our central Zurich office, our Data Science team collaborates closely with our clients' engineering departments. As a member of our team, you will work alongside data scientists to develop and implement back-end and machine-based solutions, enabling efficient visualization of data and insights generated through advanced data science algorithms.

Your Key Responsibilities

• Update existing solutions to leverage recent advancements in edge-based computing infrastructures, particularly utilizing Docker.
• Support the creation of computationally efficient data science algorithms.
• Design and implement system architectures for standalone, web-based analytics systems, APIs, and back-end integrations, adhering to industry standards such as OPC/UA.
• Integrate data science algorithms on industrial machines using appropriate runtime environments.
• Adopt a hands-on approach to prepare solutions for product readiness by collaborating with external vendors, suppliers, and other stakeholders.

Who We Are Looking For

We invite applications from candidates who possess a keen interest in industrial machine engineering, strong communication skills, and the motivation to develop products end-to-end—from algorithm and architecture design to implementation and launch.

Ideal Candidate Profile

• Experience with DevOps practices and containerization tools, such as Docker.
• Familiarity with web hosting infrastructure and cloud platforms like 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.