AI for Predictive Maintenance & Smart Manufacturing Trainer

Company: AI5 Academy
Role Type: Part-Time / Freelance / Visiting Faculty
Mode: Live Online / Hybrid
Location: Remote / India

About the Role

AI5 Academy is seeking an experienced maintenance, reliability, manufacturing, industrial engineering or industrial-AI professional who can teach predictive maintenance through real industrial use cases.

The AI5 programme connects equipment and sensor data with time-series analysis, anomaly detection, failure prediction, maintenance workflows and plant adoption.

Key Responsibilities

• Deliver practical Predictive Maintenance + AI sessions.
• Teach failure modes, asset criticality and maintenance data.
• Demonstrate time-series data preparation.
• Teach condition monitoring and feature engineering.
• Cover anomaly detection.
• Teach classification, failure prediction and remaining-life concepts.
• Explain model metrics, false alarms, precision, recall and lead time.
• Demonstrate maintenance prioritisation workflows.
• Teach model outputs → alerts → work-order processes.
• Cover industrial copilots and AI-assisted troubleshooting.
• Explain CMMS integration and human override.
• Teach plant-level AI adoption, ROI and rollout.
• Guide learners through industrial AI capstone projects.

Technical / Domain Areas

• Predictive maintenance
• Reliability engineering
• Condition monitoring
• Industrial IoT
• Sensor data
• Time-series analysis
• Feature engineering
• Anomaly detection
• Machine Learning
• Failure prediction
• Computer vision for inspection
• Industrial AI
• CMMS
• Maintenance workflows
• Smart manufacturing
• Digital twins where relevant

Experience with industrial tools such as Senseye or comparable systems is advantageous.

Ideal Candidate

• 4+ years of maintenance, reliability, manufacturing, industrial engineering or industrial-AI experience preferred.
• Strong understanding of real plant/equipment workflows.
• Practical AI/ML experience.
• Comfortable working with industrial datasets.
• Able to explain technical concepts to mixed technical/nontechnical learners.
• Strong project and case-study orientation.

Application

Please provide:

• CV
• LinkedIn
• Industrial experience
• Current/recent role
• Predictive-maintenance projects
• AI/ML technologies used
• Industrial tools/platforms used
• Teaching experience
• Availability
• Expected remuneration

Shortlisted candidates may be asked to conduct a practical teaching demonstration.

Pay: ₹9,371.83 - ₹39,771.72 per month

Work Location: Remote