20 beste Stellen als machine learning python in zürich, zh – 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.

Direkt bewerben

Erweiterte Suche

machine learning python Jobs in zürich, zh

AI CAD CAM IoT Engineer / Tinkerer CNC

Research Associate Data Science, Environmental Science, Agronomy

Research Assistant / Master's Student in Computer Science or Data Science

Energy Data Engineer

Internship in Variability Visualization Framework for Large-Scale Graphical Languages 80 - 100% (f/m/d)

Backend Software Engineer, Python

(Senior) Machine Vision Engineer

Staff Data Scientist - Supply Chain Optimisation

Wissenschaftl./-r Mitarbeiter/-in im Bereich Data Science, Umweltwissenschaften, Agrarwissenschaften

AI Engineer / Consultant

Internship in Computer Vision for Marine and Ports (80-100%)

AI Engineer | Zurich | Switzerland

Lead Data Scientist (Supply Chain Forecasting)

Doctoral position in social indicator development with text-based and spatial data

Cybersecurity Engineer

Consultant - Technology Consulting - AI & Data

PostDoc in Macroecology and Biome Mapping 70-100% (f/m/d)

Internship in Computer Vision for Marine and Ports (80-100%)

Data Engineering Intern

Data Engineer - QuantumBlack, AI by McKinsey

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning python in zürich, zh erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt