Proton
Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperienced
Genf, Zürich
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EVevulpo
Machine Learning Engineer(m/w/x)
Zürich
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Building adaptive learning models and personalizing student paths with real classroom data. Full ML lifecycle ownership and MLOps experience required. Flexible work setup, full ownership of ML stack.
Requirements
- Experience building, fine-tuning, deploying ML models
- Strong Python skills
- Experience with modern ML frameworks
- Understanding of MLOps
- Understanding of monitoring pipelines
- Understanding of model optimization
- Data-first mindset
- Drive to turn messy data into robust systems
- Experience with knowledge tracing
- Experience with NLP
- Experience with recommender systems
- Experience with EdTech
Tasks
- Build and fine-tune adaptive learning models
- Track student progress and personalize learning paths
- Continuously improve models using real classroom data
- Own the full ML lifecycle from data to deployment
- Collaborate with Product and Engineering teams
- Deploy models to students daily
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- scikit-learn
- HuggingFace
- MLOps
Benefits
Flexible Working
- Flexible work setup
Other Benefits
- Full ownership of ML stack
Purpose-Driven Work
- Product that improves lives
Startup Environment
- Smart teammates
- Fast pace
Informal Culture
- Flat hierarchy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of evulpo 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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EVevulpo
Machine Learning Engineer(m/w/x)
Zürich
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Building adaptive learning models and personalizing student paths with real classroom data. Full ML lifecycle ownership and MLOps experience required. Flexible work setup, full ownership of ML stack.
Requirements
- Experience building, fine-tuning, deploying ML models
- Strong Python skills
- Experience with modern ML frameworks
- Understanding of MLOps
- Understanding of monitoring pipelines
- Understanding of model optimization
- Data-first mindset
- Drive to turn messy data into robust systems
- Experience with knowledge tracing
- Experience with NLP
- Experience with recommender systems
- Experience with EdTech
Tasks
- Build and fine-tune adaptive learning models
- Track student progress and personalize learning paths
- Continuously improve models using real classroom data
- Own the full ML lifecycle from data to deployment
- Collaborate with Product and Engineering teams
- Deploy models to students daily
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- scikit-learn
- HuggingFace
- MLOps
Benefits
Flexible Working
- Flexible work setup
Other Benefits
- Full ownership of ML stack
Purpose-Driven Work
- Product that improves lives
Startup Environment
- Smart teammates
- Fast pace
Informal Culture
- Flat hierarchy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of evulpo 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
evulpo
Industry
Education
Description
evulpo is building the intelligence behind how millions of students learn.
Not a perfect match?
- Proton
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