Sr Machine Learning Engineer
USA - FL - North Service Area - DISC Building, United States
USD 155K-218K Senior-level Full Time
Tasks
- Analyze incident and historical data
- Build emulation and simulation environments digital twins
- Build event driven and streaming data systems
- Build near real time inference pipelines
- Build reusable machine learning frameworks patterns services
- Conduct root cause analysis and design fault tolerant architectures
- Design self healing infrastructure management systems
- Develop machine learning models for anomaly detection and forecasting
- Evaluate model performance and iterate
- Implement closed loop event driven remediation
- Implement monitoring dashboards and KPIs
- Integrate machine learning insights into operational tools
- Own machine learning lifecycle experimentation validation deployment monitoring retraining
- Perform feature engineering on telemetry data
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Anomaly Detection | Artificial Intelligence | Causal Inference | Causal analysis | Classification | Cloud Platforms | Container Orchestration | Data Engineering | Data Pipelines | Data orchestration | Docker | Event Correlation | Event Driven | Event-driven architecture | Feature Engineering | Feature Stores | Go | Identity and Access Management | Identity and access | JavaScript | Kubernetes | Machine Learning | Model Drift | Model Monitoring | Pattern Recognition | Predictive Analytics | PyTorch | Python | Real Time | Real-time Inference | Rust | Scikit-learn | Series forecasting | Statistics | Streaming Data | TensorFlow | Time Series | Time Series Forecasting | TypeScript | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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