20 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

We aren't just riding the recent AI wave, we have been deeply rooted in machine learning and statistical analysis for 10 years, delivering real, measurable value to a stable, loyal client base of manufacturers.

Imnoo is a leading SaaS platform built to analyze CNC parts, automate quoting and planning, and seamlessly connect the cloud with real manufacturers and shop-floor machines. We are looking for a unique hybrid—a CAD AI IoT Engineer / Tinkerer—who thrives at the intersection of software architecture and physical hardware. You won't just be writing code behind a desk; you will be the mastermind connecting our battle-tested algorithms directly to the pulse of the factory floor. If you love reverse-engineering industrial protocols, building edge data pipelines, and parsing complex 3D geometry to automate the business of manufacturing, this is your playground.

The Ultimate Tinkerer’s Playground: You get to work with a dynamic mix of physical machines, Raspberry Pis/Industrial PCs, and modern cloud architectures.
Drive AI in Manufacturing: Your work directly feeds the data pipelines that power our AI quoting and calculation engines, making a tangible impact on how factories operate.
High Autonomy & Impact: You will be tackling unsolved problems in a fragmented industry, with the freedom to prototype, test, and deploy creative solutions.
Shape the Industry: Play a critical role in a leading SaaS company that is actively transforming the contract manufacturing and CNC industry.

CAD/CAM & Geometry Parsing: Proven experience working with CAD/CAM environments and deep knowledge of CAD/CAM API integration to programmatically extract feature data and metadata.
Industrial IoT Connectivity: Hands-on IoT experience, specifically focused on extracting telemetry and operational data from the shop floor.
Machine Controller Mastery: Experience connecting with and pulling data from diverse CNC controllers (e.g., Heidenhain, Fanuc, Siemens) using industrial protocols (OPC UA, MTConnect, FOCAS, etc.).
Core Programming: Strong coding experience in Python, C++, C#, Node.js, or similar languages to build scalable integrations, edge agents, and rapid prototypes.
Edge Deployment: Solid experience using Docker to containerize applications and reliably deploy them to industrial edge devices or gateways.
Ecosystem Integration: Experience connecting custom software with 3rd-party services for manufacturing, such as ERP systems, cutting tool databases, or external APIs.

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