AI Machine Learning Engineer, 3D Developer

🔥 13 hours ago

🇨🇭 Switzerland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Imnoo

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏭 Manufacturing

🤝 B2B

Manufacturing • B2B

Imnoo ist ein Softwareunternehmen, das sich auf die digitale Transformation in der Lohnfertigung der Maschinen- und Elektronikindustrie (MEM) spezialisiert hat. Die intelligente Softwarelösung von Imnoo vereinfacht den Offertenprozess für Lohnfertiger, indem sie alle Schritte von der Anfrage bis zum finalen Angebot effizienter und digitalisiert gestaltet. Das Unternehmen hat das Ziel, Lohnfertiger und Einkäufer näher zusammenzubringen und die Vorteile des digitalen Wandels zu nutzen.

📋 Description

• Develop advanced feature-extraction and data-processing solutions for 3D CAD, 2D, and batch data feeding machine learning systems • Build, train, and industrialize deep learning models that understand geometry and drive quoting, calculation, and optimization engines • Enhance and extend 2D/3D/CAD tools and geometry solutions • Design, engineer, and own cloud services, APIs, and automated model training/deployment from proof of concept to production under real load • Work across interconnected cloud, data, computer vision, and ML services spanning multiple languages and platforms • Connect algorithms to factory-floor hardware and physical machines • Reverse-engineer industrial protocols, build edge data pipelines, and parse complex 3D geometry to automate manufacturing business processes

🎯 Requirements

• Machine learning / deep learning experience • Real development experience or serious projects: building, training, and shipping models (PyTorch, PyTorch Lightning, scikit-learn or similar), not just coursework or library calls • Strong mathematical understanding: linear algebra, geometry, statistics, probability • 5+ years across dynamically and statically typed languages (e.g. Python plus C++/C#) • Hands-on experience in game development, 3D geometry, rendering, fluid simulations, CUDA/GPU programming, or similar • Production experience building or maintaining systems running under heavy load • CAD system development experience; CNC / mechanical industry exposure • ML industrialization: ONNX, quantization, Docker, MLOps practices, automated model training and deployment • Large-dataset work: processing, clustering, filtering, indexing, and querying; statistical testing and outlier analysis • Cloud services (AWS/Azure), SQL and NoSQL databases, full-stack experience (e.g. Angular) • Video explainer of an application built yourself is required for evaluation • Programming/mathematical contest achievements and/or chess.com rating requested • GitHub or personal site

🏖️ Benefits

• 25 days of holiday • Long term stability a profitable company can offer • Mix of technologies offering building up experience • Rellocation opportunities after a few years