Cross-Disciplinary AI Engineer – Discovery
Belgium - Mont-Saint-Guibert
EUR 67K-72K (estimate) Mid-level Full Time
Tasks
- Build machine learning models
- Create tools and visualizations
- Develop data pipelines
- Establish best practices for responsible AI use
- Evaluate and communicate model performance
- Integrate multimodal biological data
- Monitor emerging AI methods
- Partner with experimental scientists
- Translate wet lab problems to AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Bayesian optimization | Bulk omics | Cell Data | Classification | Clustering | Computer Vision | Computer Vision Pipelines | Data Pipelines | Data Quality | Data integration | Deep learning | Flow Cytometry | Imaging Analysis | Interpretability | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | Omics Data | Omics data integration | Python | RNA Sequencing | Representation Learning | Reproducibility | Robustness | Single cell data | Single-cell | Single-cell RNA-sequencing | Vector characterization | Vision Pipelines
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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