Machine Learning / Deep Learning Engineer – Coding Wizard (70% - 100%)(remote/onsite)
Join to apply for the Machine Learning / Deep Learning Engineer – Coding Wizard (70% - 100%)(remote/onsite) role at Imnoo
Overview
We are looking for a Machine Learning – Python/Cloud Services Wizard who is ready to develop and roll out new and existing services. You will be part of an exciting journey shaping automation in manufacturing.
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 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
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)
Job details
* Seniority level: Entry level
* Employment type: Full-time
* Job function: Other
* Industries: Software Development
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