Data Scientist – AI & ML
Tasks
- Apply natural language processing
- Apply supervised learning
- Apply unsupervised learning
- Build model pipelines
- Design machine learning models
- Detect anomalies
- Develop machine learning models
- Document model development
- Engineer features
- Ensure model explainability
- Ensure model robustness
- Evaluate machine learning models
- Implement model governance
- Implement model validation
- Monitor models in production
- Perform exploratory data analysis
- Perform forecasting
- Research and apply deep learning technologies
- Validate machine learning models
Perks/Benefits
- 100% remote
- Career development
- Continuous training
- Flexible hours
- Indefinite contract
- Social benefits
Skills/Tech-stack
AUC | AWS | Artificial Intelligence | Azure | CI/CD | Data Governance | Databricks | Deep learning | Docker | Embeddings | GCP | LLM | Language Processing | MLOps | MLflow | Machine Learning | Model Monitoring | Model calibration | Natural Language | Natural Language Processing | NumPy | Pandas | Precision-recall | PyTorch | Python | RMSE | SQL | Scikit-learn | Spark | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Data Scientist | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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