Cientifico De Datos Cenic Sr
Tasks
- Apply explainable machine learning techniques
- Collaborate with infrastructure and MLOps to deploy models
- Define modeling and experimentation strategies
- Design and optimize real time and batch analytics pipelines
- Develop models for text image video and geospatial data
- Evaluate and adopt new AI technologies through proof of concept
- Guide data scientists with best practices and code quality
- Lead AI and machine learning solution design
Perks/Benefits
- Birthday day off
- Christmas bonus
- Family protection club
- Housing savings fund
- Paid time off
- Profit sharing
- Study assistance
- Vacation bonus
Skills/Tech-stack
AUC | Adversarial Networks | Batch Processing | Cloud Computing | Cross-validation | Data Experimentation | Data Processing | Deep learning | Explainable AI | F1-score | Fairness | Generative Adversarial Networks | Geospatial analysis | Image Processing | LIME | MLOps | Machine Learning | Model Evaluation | Neural Networks | Prompt engineering | RMSE | Real Time | Real-time Data | Real-time Data Processing | Reinforcement Learning | SHAP | Synthetic data | Text Analytics | Transfer Learning | Transformers | Video Processing
Education
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