AI / ML Engineer (Python Programming)

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.

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