Imnoo AG
CAD AI Software Engineer - Big Data Pipelines & ML Automation | Python, C#, C++ Expert | Machine Learning Engineer in Manufacturing(m/w/x)
Full-timeRemoteSenior
Opfikon
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IMImnoo AG
CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard(m/w/x)
Opfikon
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
CAD data feature extraction, cloud service engineering, and data processing for CNC manufacturing SaaS platform. 5+ years in dynamically/statically typed languages and CAD system development experience required. Unlimited home office flexibility.
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
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
Work Experience
5 years
Education
Bachelor's degree
Languages
English – Business Fluent
Tools & Technologies
Angularscikit-learnPyTorchPyTorch LightningONNXDockerAWSAzure Cloud ServicesSQLNoSQL
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Imnoo AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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IMImnoo AG
CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard(m/w/x)
Opfikon
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
CAD data feature extraction, cloud service engineering, and data processing for CNC manufacturing SaaS platform. 5+ years in dynamically/statically typed languages and CAD system development experience required. Unlimited home office flexibility.
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
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
Work Experience
5 years
Education
Bachelor's degree
Languages
English – Business Fluent
Tools & Technologies
Angularscikit-learnPyTorchPyTorch LightningONNXDockerAWSAzure Cloud ServicesSQLNoSQL
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Imnoo AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Imnoo AG
Industry
Manufacturing
Description
The company develops a flagship SaaS platform that enhances efficiency for CNC manufacturers through quality assurance.
Not a perfect match?
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