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

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 Flexible working hours with the possibility of a 3.5-day work week Access to cutting-edge technology and tools Sponsorship of attending industry fairs Originally posted on Himalayas