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
- 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
