Overview
AI / ML Engineer for AGV Fleet Optimization
Experience Level : 3 – 7 yrs
Responsibilities
- Python Programming – for AI / ML model development and data processing.
- Real-Time Task Scheduling & Monitoring – for AGV job assignment and fleet coordination.
- WO Optimization – for intelligent routing and task prioritization.
- Predictive Maintenance Modeling – using historical data and sensor logs.
- Issue Tracking Algorithms – for anomaly detection and resolution.
- Log Analysis & Feature Extraction – for training models and system diagnostics.
Essential Skills
Python Programming – for AI / ML model development and data processing.Real-Time Task Scheduling & Monitoring – for AGV job assignment and fleet coordination.Work Order (WO) Optimization – for intelligent routing and task prioritization.Predictive Maintenance Modeling – using historical data and sensor logs.Issue Tracking Algorithms – for anomaly detection and resolution.Log Analysis & Feature Extraction – for training models and system diagnostics.Good-to-Have Skills
TensorFlow / PyTorch – for deep learning applications.Scikit-learn / XGBoost – for classical ML approaches.Time Series Forecasting – for maintenance and usage prediction.Data Pipeline Tools (e.g., Airflow, Kafka) – for scalable data ingestion and processing.Experience with AGV or MES systems – for domain-specific insights.#J-18808-Ljbffr