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CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard(m/w/x)
Description
In this role, you will tackle real-world challenges by developing and deploying advanced machine learning solutions. Your work will involve everything from designing cloud services to enhancing CAD tools, ensuring a significant impact on manufacturing automation.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong software and coding skills
- •5+ years in dynamically typed and statically typed languages
- •Strong problem-solving skills
- •CAD system development experience
- •3D, geometry, game development, fluid simulations, rendering, CUDA or similar experience
- •Experience in systems running in production under heavy load
- •Educational background in mathematics or statistics
- •Industry/Mechanical experience in CNC and related fields
- •Hands-on experience in Frontend (e.g., Angular) and Backend development
- •Full-stack development experience
- •Familiarity with machine learning/deep learning libraries, such as scikit-learn, PyTorch, and PyTorch Lightning
- •Experience with industrialization tools for machine learning models, including quantization, ONNX, and Docker
- •Knowledge of MLOps practices and pipeline development
- •Expertise in processing, clustering, filtering, indexing, and querying large datasets efficiently
- •Proficiency in automated model training and deployment
- •Strategic data analysis and research skills, including statistical testing, error propagation, and identifying clusters or outliers
- •Experience with cloud services, particularly AWS and Azure Cloud Services
- •Strong database skills: SQL and NoSQL
- •Deep understanding of data structures
- •Familiarity with compiled languages like C#, C++, or similar
Education
Work Experience
5 years
Tasks
- •Develop advanced feature extraction solutions for CAD data
- •Create data-processing solutions for 2D and batch data
- •Design and engineer cloud services and APIs
- •Implement automated model training and deployment
- •Build and maintain tools for production systems
- •Own services from proof of concept to production-ready
- •Gain knowledge of cloud, data, computer vision, and ML services
- •Maintain and enhance optimization and machine learning services
- •Improve 2D, 3D, and CAD tools and solutions
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Fully flexible work style
- •Unlimited home office flexibility
Career Advancement
- •Career growth opportunities
Learning & Development
- •Professional development support
Startup Environment
- •Dynamic work environment
Snacks & Drinks
- •Snacks of your choice
More Vacation Days
- •25 days of vacation annually
Family Support
- •Excellent work-life balance
- Imnoo AGFull-timeRemoteSeniorOpfikon
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CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard(m/w/x)
The AI Job Search Engine
Description
In this role, you will tackle real-world challenges by developing and deploying advanced machine learning solutions. Your work will involve everything from designing cloud services to enhancing CAD tools, ensuring a significant impact on manufacturing automation.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong software and coding skills
- •5+ years in dynamically typed and statically typed languages
- •Strong problem-solving skills
- •CAD system development experience
- •3D, geometry, game development, fluid simulations, rendering, CUDA or similar experience
- •Experience in systems running in production under heavy load
- •Educational background in mathematics or statistics
- •Industry/Mechanical experience in CNC and related fields
- •Hands-on experience in Frontend (e.g., Angular) and Backend development
- •Full-stack development experience
- •Familiarity with machine learning/deep learning libraries, such as scikit-learn, PyTorch, and PyTorch Lightning
- •Experience with industrialization tools for machine learning models, including quantization, ONNX, and Docker
- •Knowledge of MLOps practices and pipeline development
- •Expertise in processing, clustering, filtering, indexing, and querying large datasets efficiently
- •Proficiency in automated model training and deployment
- •Strategic data analysis and research skills, including statistical testing, error propagation, and identifying clusters or outliers
- •Experience with cloud services, particularly AWS and Azure Cloud Services
- •Strong database skills: SQL and NoSQL
- •Deep understanding of data structures
- •Familiarity with compiled languages like C#, C++, or similar
Education
Work Experience
5 years
Tasks
- •Develop advanced feature extraction solutions for CAD data
- •Create data-processing solutions for 2D and batch data
- •Design and engineer cloud services and APIs
- •Implement automated model training and deployment
- •Build and maintain tools for production systems
- •Own services from proof of concept to production-ready
- •Gain knowledge of cloud, data, computer vision, and ML services
- •Maintain and enhance optimization and machine learning services
- •Improve 2D, 3D, and CAD tools and solutions
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Fully flexible work style
- •Unlimited home office flexibility
Career Advancement
- •Career growth opportunities
Learning & Development
- •Professional development support
Startup Environment
- •Dynamic work environment
Snacks & Drinks
- •Snacks of your choice
More Vacation Days
- •25 days of vacation annually
Family Support
- •Excellent work-life balance
About the Company
Imnoo AG
Industry
Manufacturing
Description
The company develops a flagship SaaS platform that enhances efficiency for CNC manufacturers through quality assurance.
- Imnoo AG
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