AI/ML Engineer

Job Description

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.