Switzerland onlyDo 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!
(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified)
If you’re ready to be part of an exciting journey and make a real impact in the world of automation, join us at Imnoo and help shape manufacturing!
With joy and a pioneering spirit, we at Imnoo embrace the opportunities of automation! Become part of our team and bring your talent and expertise to help shape the future for our customers.
We’re looking for a Machine Learning – Python/Cloud Services Wizard who is ready to develop and roll out new and existing services.
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 loooooooooooot all the time!!!!
- Work on tangible, real-world challenges that make an impact.
• Fully flexible work style.
• Snacks of your choice.
- Support for professional certifications and development.
- 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.
Requirements
Nice to have:
- Strong problem-solving skills (must have)
- Educational background in mathematics or statistics with strong dedication and experience in applied technologies.(optional)
• CAD data usage experience (optional)
- Industry/Mechanical experience in CNC and related fields (optional)
- Hands-on experience in Frontend (e.g., Angular) and Backend development. (optional)
- 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)
- Experience in rendering/game development/CUDA or similar(nice to have)
- 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
Flexible working hours with the possibility of a 3.5-day work week
Access to cutting-edge technology and tools
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