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 aimed at enhancing 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 diverse industries including plastics, electronics, and converting.

Our team of data scientists at our central Zurich office collaborates closely with clients' engineering teams. As a member of our dynamic team, you will help develop and implement back-end and machine-based solutions that efficiently visualize data and insights generated through advanced data science algorithms.

Your Key Responsibilities

• Updating existing solutions to leverage recent advances in edge-based compute infrastructures, particularly using Docker.
• 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, adhering to industry standards such as OPC/UA.
• Integrating data science algorithms on industrial machines utilizing runtime environments.
• Taking 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 are enthusiastic about industrial machine engineering, possess strong communication skills, and are motivated to contribute to product development from concept to launch, covering algorithm design, architecture, implementation, and deployment.

Qualifications

• Experience with DevOps 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 proficiency in writing 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.