Join Spur Insights in Zurich!
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 in over 100 countries, encompassing manufacturing processes within the plastics, electronics, and converting industries.
From our office near Stauffacher Square in Zurich, the Spur Insights Data Science team collaborates closely with industrial clients globally. You will become a vital part of our international team of Data Scientists, focusing on the development and implementation of advanced Data Science algorithms for machine data.
Your Role
In this position, you will concentrate on designing, building, and deploying Large Language Model (LLM)–based solutions that connect 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 that assist in detecting wear and tear, impending mechanical issues, and incorrect machine settings.
- Design natural language interfaces and reasoning layers that support machine operators with troubleshooting, quality control, and energy efficiency decisions.
- Fine-tune, evaluate, and integrate LLMs for industrial applications, emphasizing accuracy, robustness, and explainability.
- Collaborate closely with clients to understand machine behavior, data availability, and operational constraints, translating these insights into scalable AI solutions.
You will engage hands-on across the full lifecycle—from data exploration and model development to deployment and iteration in real industrial environments.
What We Are Looking For
- Candidates with strong foundations in Data Science and a clear focus on generative AI and LLM-based systems.
- Proficiency in Data Science-centric languages and environments such as Python, Jupyter, TensorFlow, or MATLAB.
- Knowledge of generative AI and Large Language Models (LLMs).
- Effective communication skills and the ability to collaborate well in a team environment are essential.
- 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.