Machine Learning / Computer Graphics Engineer (remote part/full time) - Junior/M
Imnoo AG
WorldwideremotePosted 1 month ago
Skill Required
Machine-Learning-EngineerGraphics-Engineer3D-CAD-DeveloperDeep-Learning-EngineerSoftware-EngineerRemote-Machine-Learning-EngineerJunior-Machine-Learning-EngineerJunior-AI-ML-EngineerSenior-ML-Engineer-Visual-EffectsMachine Learning EngineerMachine Learningsoftware engineeringComputer VisionDeep LearningScikit-learnEngineeringR ProgrammingStatisticsData Structuressimilar)buildingQuery OptimizationAngularPyTorchTestNGAzurePythonDockerdesignC++CloudAPIsC#SQLAWSFulltime
Key highlights
- 25 days of holiday
- Long term stability a profitable company can offer
- 3+ years across dynamically and statically typed languages (e.g. Python plus C++/C#)
- Rellocation opportunities after a few years
Role overview
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, connecting battle-tested algorithms directly to the pulse of the factory floor.
Responsibilities
- Develop advanced feature-extraction and data-processing solutions for 3D CAD, 2D, and batch data feeding our machine learning systems.
- Build, train, and industrialize deep learning models that understand geometry and drive our quoting, calculation, and optimization engines.
- Enhance and extend our 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.
- Go deep across interconnected cloud, data, computer vision, and ML services spanning multiple languages and platforms.
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. Our problems are mathematical at their core; this is a real requirement, not a nice-to-have.
- Strong software engineering. 3+ years across dynamically and statically typed languages (e.g. Python plus C++/C#), with sharp problem-solving skills.
- Computer Graphics / Game development / 3D foundations. Hands-on experience in game development, 3D geometry, rendering, fluid simulations, CUDA/GPU programming, or similar. This is a headline requirement, not a bonus.
- Production experience. You've built or maintained systems running under heavy load.
Nice to have
- 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).
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
Additional details
- Geometry with consequences. Deep learning on 3D CAD data where correctness translates into steel and aluminum, not pixels.
- The ultimate tinkerer's playground. Physical machines, shop floors, and modern cloud architectures all in one stack.
- Tangible impact. Your work feeds the data pipelines that power our AI quoting and calculation engines. Factories operate differently because of what you ship.
- High autonomy. A fragmented industry full of unsolved problems, and the freedom to prototype, test, and deploy your own solutions end-to-end.
- For over 10 years at Imnoo at Imnoo, we are bridging the gap between applied artificial intelligence and heavy industrial machinery.
- Imnoo is sustainability focused, creating real value as well as a profitable company with stable base.
- 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.
- Originally posted on Himalayas