Senior Machine Learning Engineer
Tasks
- Collaborate with cross-functional teams
- Deploy models to production
- Design ML AI models for threat assessment
- Establish model evaluation practices
- Implement ML development lifecycle
- Perform data ingestion and feature engineering
- Train and evaluate models
- Write clean, testable, documented code
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | CI/CD | Clustering | Dimensionality Reduction | Edge Computing | Feature Engineering | Few-Shot Learning | Few-shot | Generative Modeling | JAX | MLOps | MLflow | Machine Learning | Metric Learning | Model Deployment | Model Evaluation | Model Interpretability | Model Training | Model versioning | Multi-class classification | Object Classification | Optimization | Outlier Detection | Probability | PyTorch | Python | Real Time | Real-time Processing | Safety Critical Machine Learning | Safety-Critical | Sequential modeling | Series analysis | Statistics | TensorFlow | Time Series | Time Series Analysis | Time processing | Uncertainty Quantification | Unsupervised Learning | Weights and Biases
Education
Regions
Countries
States
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