Join Spur Insights in Zurich, Switzerland
Spur Insights specializes in developing Data Science, machine learning, and AI solutions aimed at enhancing the efficiency and reliability of industrial processes and machinery. With clients spanning over 100 countries, our innovative solutions cater to manufacturing processes across the plastics, electronics, and converting industries.
Located near Stauffacher Square in Zurich, our Data Science team collaborates closely with industrial clients worldwide. We invite you to become a part of our international team of Data Scientists, where you will have the opportunity to develop and implement cutting-edge Data Science algorithms for machine data.
Your Role
In this position, you will focus on designing, building, and deploying Large Language Model (LLM)–based solutions that effectively integrate machine data, operator knowledge, and industrial processes.
Your Responsibilities
- Develop Agentic-LLM solutions to capture, structure, and reason over machine documentation, operator input, and historical service data.
- Build AI-driven self-diagnostic and advisory systems to identify wear and tear, potential mechanical issues, and incorrect machine settings.
- Design natural language interfaces and reasoning layers to assist machine operators in troubleshooting, quality control, and energy efficiency decisions.
- Fine-tune, evaluate, and integrate LLMs for industrial use cases, with an emphasis on accuracy, robustness, and explainability.
- Collaborate closely with clients to understand machine behavior, data availability, and operational constraints, and translate these into scalable AI solutions.
You will engage hands-on in the full project lifecycle, from data exploration and model development to deployment and iteration within real industrial environments.
What We Are Looking For
- Candidates should possess strong foundational knowledge in Data Science, with a specific focus on generative AI and LLM-based systems.
- Proficiency in Data Science-centric languages and environments, such as Python, Jupyter, TensorFlow, or MATLAB.
- Understanding of generative AI and LLM concepts.
- Effective communication skills and the ability to collaborate well within a team.
- Interest in or exposure to industrial data, machine engineering, or complex physical systems.
Apply online using the form below. Only applications matching the job profile will be considered.