Senior Machine Learning Engineer
Tasks
- Build applied machine learning workflows
- Build machine learning models
- Classify cluster label enrich internet observed assets
- Create feature pipelines and training datasets
- Deploy machine learning services cloud or on prem
- Evaluate model performance
- Implement confidence scoring systems
- Improve datasets feedback loops
- Partner with engineering research security product teams
Perks/Benefits
Skills/Tech-stack
AWS | Accuracy | Anomaly Detection | Azure | Classification | Clustering | Data Pipelines | Docker | Experiment tracking | Feature Engineering | Feature Stores | GCP | Go | Kubernetes | MLOps | Machine Learning | Model Evaluation | Model Serving | Precisión | Python | Recall | Supervised Learning | Training Datasets | Unsupervised Learning
Education
N/A
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