Lead AI Architect
Job Location:
Monthly Salary:
Posted on:
6 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Industrial AI & Data Science Expertise
Strong understanding of statistical modeling time-series
analysis and signal processing for sensor and machine
data.
Experience in predictive maintenance anomaly
detection and condition-based monitoring.
Expertise in process optimization using AI/ML
techniques (e.g. reinforcement learning simulation-
based optimization).
Experience in computer vision for industrial quality
inspection (e.g. defect detection OCR visual anomaly
detection).
Familiarity with industrial protocols and data ingestion
from PLCs SCADA OPC UA Modbus MQTT etc.
Knowledge of digital twin modeling simulation and
integration with real-time data.
analysis and signal processing for sensor and machine
data.
Experience in predictive maintenance anomaly
detection and condition-based monitoring.
Expertise in process optimization using AI/ML
techniques (e.g. reinforcement learning simulation-
based optimization).
Experience in computer vision for industrial quality
inspection (e.g. defect detection OCR visual anomaly
detection).
Familiarity with industrial protocols and data ingestion
from PLCs SCADA OPC UA Modbus MQTT etc.
Knowledge of digital twin modeling simulation and
integration with real-time data.
Strong understanding of statistical modeling time-series
analysis and signal processing for sensor and machine
data.
Experience in predictive maintenance anomaly
detection and condition-based monitoring.
Expertise in process optimization using AI/ML
techniques (e.g. reinforcement learning simulation-
based optimization).
Experience in computer vision for industrial quality
inspection (e.g. defect detection OCR visual anomaly
detection).
Familiarity with industrial protocols and data ingestion
from PLCs SCADA OPC UA Modbus MQTT etc.
Knowledge of digital twin modeling simulation and
integration with real-time data.
analysis and signal processing for sensor and machine
data.
Experience in predictive maintenance anomaly
detection and condition-based monitoring.
Expertise in process optimization using AI/ML
techniques (e.g. reinforcement learning simulation-
based optimization).
Experience in computer vision for industrial quality
inspection (e.g. defect detection OCR visual anomaly
detection).
Familiarity with industrial protocols and data ingestion
from PLCs SCADA OPC UA Modbus MQTT etc.
Knowledge of digital twin modeling simulation and
integration with real-time data.
