Senior Machine Learning Engineer
Tasks
- Build machine learning systems
- Deploy machine learning models
- Develop machine learning pipelines
- Evaluate machine learning models
- Implement monitoring logging and observability
- Manage model training and deployment workflows
- Monitor model performance
- Perform feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Flink | Apache Kafka | Apache Spark | Azure | Bicep | Cloud platform | Deep learning | Docker | Experimentation | Feast | Feature Engineering | Feature Stores | Google Cloud | Google Cloud Platform | Java | Kubeflow | Kubernetes | LIME | Language Processing | Logging | MLflow | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | NoSQL | Observability | PyTorch | Python | Recommender Systems | SHAP | SQL | Scala | Scikit-learn | Series forecasting | Tecton | TensorFlow | Terraform | Time Series | Time Series Forecasting
Education
N/A
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