AI and Predictive Maintenance/Industrial Engineering Expert

About the Company

HIRING – AI & Predictive Maintenance / Industrial Engineering Expert

About the Role

We are looking for an experienced professional who has worked on transforming Industrial Engineering from reactive maintenance to predictive, intelligent, and data-driven operations, with AI as the key differentiator.

• Role: Industrial Engineering – AI & Predictive Maintenance
• Location: India
• Work Type: Remote
• Joining: ONLY IMMEDIATE JOINERS

Responsibilities

Key Responsibilities

• Transform traditional reactive maintenance into predictive and intelligent maintenance
• Leverage AI/ML, IoT, analytics and equipment data to identify potential failures before they occur
• Develop condition-based and predictive maintenance strategies
• Analyze equipment health, performance and failure patterns
• Identify early-warning indicators and optimize maintenance schedules
• Reduce unplanned downtime and improve equipment reliability
• Build data-driven maintenance and asset-performance frameworks
• Collaborate with Engineering, Maintenance, Automation, Data and AI teams
• Drive continuous improvement through AI-enabled industrial operations

Qualifications

• Strong Industrial Engineering / Maintenance background

Required Skills

Key Experience / Domain Expertise

• The candidate should have hands-on experience in predictive maintenance, intelligent asset monitoring, condition-based maintenance, and data-driven industrial operations, covering equipment such as:
• Gloves
• HEPA / ULPA Filters
• Gauges & Pressure Transmitters
• VFDs & Motors
• Vacuum Pumps
• Pneumatic Cylinders
• Compressors
• Air Handling Units (AHUs)
• Dust Collectors
• PTS
• Isolators
• RABS
• VHP Systems
• Autoclaves
• Washers
• Reactors
• Granulators
• Experience with predictive maintenance and intelligent operations
• Practical understanding of the listed industrial/pharma manufacturing equipment
• Experience using AI/ML, data analytics, IoT or advanced analytics for maintenance transformation
• Strong understanding of equipment reliability and failure analysis
• Ability to translate equipment data into actionable maintenance insights

Preferred Skills

• Experience with industrial/pharma manufacturing environments (implied by equipment list)

Pay range and compensation package

Not specified.

Equal Opportunity Statement

Not specified.