Machine Learning Engineer II
SSC Irving TX, United States
USD 70K-107K (estimate) Mid-level Full Time
Tasks
- Build scalable data pipelines
- Conduct technical design discussions
- Create dashboards and visualizations
- Deploy machine learning models
- Design machine learning models
- Develop machine learning data solutions
- Evaluate and tune machine learning models
- Implement MLOps for model lifecycle
- Monitor deployed models
- Perform code reviews
- Process analyze structured datasets
- Process analyze unstructured datasets
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 | Distributed Computing | Feature Engineering | Git | Gradient boosting | Hyperparameter Tuning | K-Nearest Neighbors | K-nearest | Kubernetes Service | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Evaluation | Nearest neighbors | Neural Networks | Power BI | PySpark | Python | Random Forests | Support Vector Machines | Tableau | Vector machines | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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