Staff Machine Learning Engineer (REMOTE)
GEORGIA - VIRTUAL - GA01, United States
R
USD 120K-190K Senior-level Full Time
Tasks
- Build dashboards logging and alerting
- Configure commercial off the shelf ML solutions
- Create monitoring and support tools
- Design infrastructure and database security and ML architectures
- Design secure reliable scalable ML solutions
- Detect data drift and monitor model performance
- Develop model training evaluation and deployment pipelines
- Evaluate and recommend ML platforms
- Integrate ML libraries into scalable software systems
- Lead ML systems development
- Manage ML model lifecycle versioning and experimentation
- Monitor production service level objectives
- Provide production application support
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Applied statistics | Autoencoders | Automl | B testing | Batch inference | BigQuery | BigQueryML | CI/CD | Capacity Planning | Cloud Computing | Cloud platform | Clustering | Convolutional Neural Networks | Data Analysis | Data Drift | Data drift monitoring | Disaster Recovery | Drift monitoring | Embeddings | Experimentation | Feature Engineering | Forecasting | Gensim | Git | Google Cloud | Google Cloud Platform | High Availability | Jupyter Notebooks | Lifecycle Management | Linux | Machine Learning | Machine Learning Pipelines | Model Deployment | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model versioning | NLP | Neural Networks | Pandas | Performance Tuning | PyTorch | Python | REST | Real Time | Real-time Inference | Regression | SQL | SciPy | Scikit-learn | Security | TensorFlow | Unix | Vertex AI
Education
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