Senior AI / ML Data Scientist I
Tasks
- Collaborate with cross-functional teams
- Conduct exploratory data analysis
- Deploy and monitor machine learning models in production
- Develop and implement machine learning models
- Document and communicate model results
- Evaluate and optimize models
- Implement deep learning architectures
- Perform data preprocessing and feature engineering
- Research and apply machine learning algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | CNN | CatBoost | Component analysis | Cross-validation | Decision Trees | Django | Docker | Fine Tuning | Flask | Git | Gradient boosting | Gradio | GridSearchCV | Hierarchical Clustering | Hyperparameter Tuning | K-Means | K-Nearest Neighbors | K-nearest | Keras | Kubeflow | Kubernetes | LSTM | Language Models | Large Language Models | LightGBM | Linear Regression | Logistic Regression | MLflow | Matplotlib | Model Monitoring | Multimodal Large Language Models | Naïve Bayes | Nearest neighbors | NumPy | PCA | Pandas | Principal Component Analysis | PyTorch | Python | Random Forests | RandomizedSearchCV | Regularization | SQL | SVM | SciPy | Scikit-learn | Seaborn | Streamlit | Support Vector Machines | TensorFlow | Transformers | Vector machines | XGBoost
Education
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