Sr ML/AI Engineer

PamTen Inc

🌏 Worldwide

Remote

Senior

4 months ago

Machine Learning
GCP
Vertex AI
CI/CD
BigQuery
Python
scikit-learn
TensorFlow
PyTorch
SQL
IoT
Looker Studio

4 months ago

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Description: Client is seeking an ML/AI Engineer to develop, fine-tune, and operationalize machine learning models that predict track nonconformities on the NYC subway system. Working within a Google Cloud Vertex AI environment, you will leverage sensor data (vibration, audio, location) captured by Pixel phone hardware kits on revenue cars and ground-truth defect records from MTA's Hexagon system to build predictive models supporting the TrackInspect application.

Key Responsibilities

Perform feature engineering on sensor and operational data to identify patterns correlated with documented track defects in Hexagon (HxGN)
Leverage and refactor existing prototype ML models for pilot-scale use; validate performance and suitability for production
Utilize Vertex AI Workbench to train, retrain, and version ML models; track experiments and metrics
Conduct hyperparameter tuning and model validation activities to optimize nonconformity prediction accuracy
Deploy trained models for daily batch inference; connect deployed models to batched sensor input pipelines
Implement model monitoring, alerting, and a continuous feedback loop from Track Inspector inputs captured in HxGN
Build and maintain CI/CD pipelines and multi-environment deployment strategy for current models
Build the BigQuery 'Predictions – User Friendly View' incorporating location attributes, prediction metadata, and feedback fields
Assess model results against known track defects within HxGN and present findings at model evaluation meetings with MTA
Proficiency in Python (scikit-learn, TensorFlow or PyTorch) and SQL
Hands-on Vertex AI experience (Workbench, training pipelines, model deployment)
Strong understanding of feature engineering, model validation, and hyperparameter optimization
Experience with time-series or sensor data (vibration, audio, or accelerometer signals a plus)
Familiarity with BigQuery as a data platform for ML pipelines
Experience with geospatial ML or GPS/LRS-based positioning models
Prior work in predictive maintenance, anomaly detection, or IoT sensor analytics
Google Professional ML Engineer certification
Understanding of transit or infrastructure asset management systems
Experience with Looker Studio or similar BI tools for ML output visualization

Sr ML/AI Engineer · PamTen Inc

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