Machine Learning Engineer II
Tasks
- Analyze structured datasets
- Analyze unstructured datasets
- Build data pipelines
- Communicate insights to stakeholders
- Conduct code reviews
- Create dashboards
- Create visualizations
- Deploy machine learning models
- Design machine learning models
- Develop MLOps pipelines
- Develop machine learning models
- Evaluate machine learning models
- Manage machine learning model lifecycle
- Monitor machine learning models
- Optimize scalable data pipelines
- Participate in technical design discussions
- Process large datasets
- Test machine learning models
- Tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial neural networks | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | CI/CD | Clustering | Data Factory | Data Visualization | Decision Trees | Deep learning | Feature Engineering | Generalized Linear Models | Git | Hyperparameter Tuning | K-Nearest Neighbors | K-nearest | Kubernetes Service | Linear Models | Linear Regression | Logistic Regression | Machine Learning | Model Evaluation | Nearest neighbors | Neural Networks | Power BI | PySpark | Python | Random Forests | Segmentation | Support Vector Machines | Tableau | Vector machines | XGBoost
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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