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Software Engineer, Machine Learning​/ ML Engineer, AI Engineer

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Spur Insights
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

Spur Insights, located in Zurich, Switzerland, develops data science, machine learning, and AI solutions to improve the efficiency and reliability of industrial processes and machinery. Our solutions are widely used by clients in more than 100 countries, supporting manufacturing operations in industries such as plastics, electronics, and converting.

From our office in central Zurich, the Spur Insights Data Science team works closely with clients’ engineering teams. You will join our international team of data scientists to develop and implement back-end infrastructure that efficiently hosts and visualizes data science algorithms.

As a key member of our software engineering team, you will collaborate closely with data scientists to bring cutting‑edge algorithms to life—and into production.

Your key responsibilities will include:
  • Supporting the development of computationally efficient data science algorithms
  • Designing and implementing system architectures for stand‑alone, web‑based analytics systems, APIs, and back‑end integrations, following industry standards such as OPC/UA
  • Integrating data science algorithms on industrial machines using runtime environments like Docker
  • Taking a hands‑on approach to bring solutions to product readiness by collaborating with external vendors, suppliers, and other stakeholders

We welcome applications from both junior and experienced 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 will have:
  • Experience with Dev Ops practices and containerization tools such as Docker
  • Familiarity with web hosting infrastructure and cloud platforms such as GCP, AWS or Azure
  • Basic understanding of current data science algorithms and the ability to write high-quality code in Python, C, and Java.

Our Zurich office fosters a collaborative and innovative environment, making strong teamwork and communication skills essential. A Bachelor’s degree in Computer Science or a related field from an accredited institution—or equivalent professional experience is required.

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