Machine Learning Engineer II
SSC Irving TX, United States
USD 70K-100K (estimate) Mid-level Full Time
Tasks
- Analyze large datasets
- Build dashboards
- Build data pipelines
- Conduct code reviews
- Create data visualizations
- Deploy machine learning models
- Design machine learning models
- Develop machine learning models
- Evaluate machine learning models
- Implement MLOps pipelines
- Manage model lifecycle
- Monitor model performance
- Participate in technical design discussions
- Process structured datasets
- Process unstructured 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 | Clustering | Containerization | Data Factory | Decision Trees | Deep learning | Distributed Computing | Feature Engineering | Generalized Linear Models | Git | Gradient boosting | 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 Engineering | Bachelor of Science | Master of Science
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