Fullstack: Frontend Backend CAD AI IoT Engineer – Coding Wizard ( 70% - 100% ) (

🏢 Imnoo AG · all Imnoo AG jobs
📍 Canada,Germany,India,United Kingdom,United States
📅 Posted 2026-07-03 · via Himalayas
🏷 Software-Engineer,Frontend-Engineer,Machine-Learning-Engineering,Backend-Engineering,Full-Stack-Engineer,Full-Stack-Developer-(JavaScript-Python),Mid-Level-Full-Stack-Developer-(JavaScript-React-Node.Js),Senior-Full-Stack-Engineer-(JavaScript-Python),Fullstack-Development
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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)
Requirements
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 with compiled languages like C# , C++ , or similar.(nice to have)

Highlights

Stock options or equity participation in the company

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