Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)
Imnoo AG
| Company | Imnoo AG |
| Category | Engineering |
| Location | Zürich |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (recruitee) |
Description
Do you feel like you’re just coding toy problems without making a real impact? Join us for a fulfilling career where you’ll tackle concretely defined, real-world challenges. At Imnoo, you’ll make a significant impact on automating manufacturing processes, gaining invaluable experience and deep satisfaction along the way! We’re looking for an experienced Software Engineer / Machine Learning – Python/Cloud Services Wizard who is ready to develop and roll out new and existing services into production systems. Why Join Us? • A clear path for career growth and advancement within the company. • The opportunity to solve real and meaningful challenges. • A dynamic and flexible work environment. • Opportunities for professional development and certification support. • A platform to share your ideas and opinions, where they are highly valued. Your Playground • Work on real/hands-on problems • Develop efficient tools directly impacting the day-to-day life of our manufacturers • Develop advanced feature extraction and data-processing solutions for managing CAD, 2D, and batch data (filtered/unfiltered) for machine learning • Design, engineer, and take responsibility for cloud services, APIs, automated model training/deployment, and build tools. • Own services end-to-end, from proof of concept to production-ready solutions. • Gain in-depth knowledge of interconnected cloud, data, computer vision, and ML services across multiple languages and platforms. • Maintain and further develop optimization/machine learning services. • Enhance 2D/3D/CAD tools/solutions Our Offer • Learn a lot about the machining industry • Work on tangible, real-world challenges that make an impact. • Fully flexible work style. • Snacks of your choice. • Exposure to a broad stack of machine learning and data analysis tools. • Opportunities to grow your hard and soft skills within a diverse team. • Collaboration in a dynamic startup environment with a motivated and young team. • 25 days of vacation annually. • Unlimited home office or offsite work flexibility. • Excellent work-life balance with regular social team events. (Middlemen such as recruiting agencies are not welcome and will be automatically disqualified) Best to have: • Strong coding skills • 5+ years in both dynamically typed and/or statically typed languages • Strong problem-solving skills • CAD system development/work experience • 3D / geometry / game development / fluid simulations / rendering / CUDA or similar - foundations/experience • Experience in systems running in production under heavy load Nice to have: • Educational background in mathematics or statistics with strong dedication and experience in applied technologies.(nice to have) • Industry/Mechanical experience in CNC and related fields (optional) • Hands-on experience in Frontend (e.g., React/Angular) and Backend development . • Full-stack development experience.(optional) • Familiarity with popular machine learning/deep learning libraries, such as scikit-learn , PyTorch , and PyTorch Lightning . (nice to have) • Experience with industrialization tools for machine learning models, including quantization , ONNX , and Docker .(nice to have) • Knowledge of MLOps practices and pipeline development.(nice to have) • Expertise in processing, clustering, filtering, indexing, and querying large datasets efficiently. (nice to have) • Proficiency in automated model training and deployment. (optional) • Strategic data analysis and research skills, including statistical testing, error propagation, and identifying clusters or outliers. (optional) • Experience with cloud services, particularly AWS and Azure Cloud Services . (optional) • Strong database skills: SQL and NoSQL . (optional) • Deep understanding of data structures. (optional) • Familiarity wi
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