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 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.
(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified)
Requirements
Best to have:
• Strong software / coding skills
- 5+ years in both dynamically typed and 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., 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)
- 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
