Machine Learning Engineer
Core
Building and deploying machine learning models for anomaly and drift detection on sensor data (vibrations, accelerations) optimized for edge deployment.
Role type
Machine Learning Engineer
Builds
Production ML models for edge devices
Domain
Industrial IoT / Sensor Data Analysis
Deliverable
production ML models
Required skills
Python, R, SQL, Bash, TFLite, ONNX, ADWIN, DDM, HDDM, SHAP, LIME, MLOps pipelines
Preferred skills
Cloud provider experience, Computer Engineering degree
Technologies
TFLite, ONNX, ADWIN, DDM, HDDM, SHAP, LIME
Responsibilities
Implement anomaly detection on sensor data, Develop drift detection algorithms, Optimize models for edge deployment, Build reproducible MLOps pipelines
Seniority
Mid-level (4+ years experience)
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