Senior Machine Learning (ML) Engineer
Fort Collins, Colorado, United States
USD 165K-218K Senior-level Full Time
Tasks
- Architect code deploy and iterate with modern Python ML tooling
- Automate tracking analysis
- Bridge tracking algorithms and machine learning techniques
- Build autotuning capabilities
- Deploy models in air gapped environments
- Design human in the loop tools
- Evaluate build vs leverage model architectures
- Exploit tracking telemetry with instrumentation
- Manage MLOps lifecycle data catalogs ground truth model registry versioning validation
- Own tracking intelligence infrastructure end to end
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Anomaly Detection | Automl | C++ | Cause analysis | Containerization | Dagster | Dask | Data Association | Data Catalogs | Data Pipelines | Deployment Workflows | Docker | Edge Computing | Experiment tracking | Feature Engineering | Ground Truth | Ground Truth Labeling | Hyperparameter Tuning | Hypothesis tracking | Kalman Filters | Kubernetes | Logging | MLOps | MLflow | Model Validation | Model versioning | Multi-hypothesis Tracking | Online Learning | PyTorch | Python | Radar Systems | Root Cause Analysis | Root cause | Scikit-learn | Sensor fusion | Signal Processing | Spark | Streaming time series | TensorFlow | Time Series | Time-series feature engineering
Education
N/A
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