Sr. Staff Machine Learning Engineer
Tasks
- Build distributed ML systems
- Design multi agent solutions for automated analysis and decisioning
- Develop anomaly detection for near real time threat detection
- Develop production ML monitoring and observability plans
- Implement full ML lifecycle data collection feature engineering and real time serving
- Optimize large scale analytics queries for partitioned data
- Orchestrate autonomous agent workflows and agent communications
Perks/Benefits
- Education reimbursement
- Health plans
- Hybrid working model
- Parental leave
- Retirement options
- Time off plans
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Anomaly Detection | Azure | Azure Data | Azure Data Explorer | Cloud Computing | Data Explorer | Decision Trees | Distributed Systems | GCP | Google BigQuery | Java | Kusto | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | Spring Boot | Statistical Analysis | Streaming Machine Learning | TensorFlow
Education
N/A
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