AI/ML Engineer, Senior - WFH1659
Tasks
- Build training pipelines for model development
- Characterize error sources and validate assumptions
- Conduct exploratory data analysis on sensor datasets
- Design machine learning models for RF emitter identification
- Develop preprocessing and rollup logic
- Ensure pipeline correctness on constrained edge hardware
- Evaluate and refine machine learning models
- Implement ML data pipelines for NDF sensor streams
- Investigate sensor data quality and attribution reliability
- Maintain versioning for reproducible experiments
- Write technical documentation for experiments and results
Perks/Benefits
- N/A
Skills/Tech-stack
Bias detection | Binary serialization | CPU Inference | Class imbalance | Data Analysis | Data Preprocessing | Data Quality | Deep learning | Exploratory Data Analysis | Feature Engineering | Flatbuffers | Jupyter | Label Noise | Linux | Machine Learning | Metric Learning | Metric Learning Losses | Metric Learning Mining | Missing Value Imputation | Model Evaluation | Model Validation | Multi-threading | NumPy | Pandas | Protocol Buffers | PyTorch | Python | Scikit-learn | Sensor artifacts | Siamese Networks | Similarity Learning | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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