Científico de Datos CENIC
Tasks
- Define AI and ML modeling strategy
- Deploy models in production with MLOps
- Design and optimize analytical pipelines for batch and real time processing
- Evaluate and adopt new AI technologies with proof of concept
- Guide data scientists on best practices and code quality
- Implement explainable AI techniques
- Lead model development for text image video and geospatial data
Perks/Benefits
- Birthday day off
- Christmas bonus
- Family protection plan
- Meal or study scholarships
- Paid time off
- Performance bonus
- Savings fund
- Severance benefits
Skills/Tech-stack
AUC | Batch Processing | Cloud Computing | Computer Vision | Cross-validation | Data Pipelines | Deep learning | Experiment design | Explainable AI | F1-score | Fairness | GANs | LIME | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | RMSE | Real Time | Real-time Processing | Reinforcement Learning | SHAP | Time processing | Transfer Learning | Transformers | XAI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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