Role Summary

We are seeking a skilled Industrial AI/ML Engineer with experience in deploying analytics and machine learning solutions within industrial environments. The ideal candidate will have a strong understanding of reliability engineering concepts and hands-on experience with industrial data systems.

Key Responsibilities

• Deploy analytics solutions, machine learning models, and rule-based models in industrial use cases
• Perform quality assurance and validation to ensure model accuracy and reliability
• Develop structured, scalable processes including documentation, checklists, and repeatable workflows
• Work on Industrial AI/ML solutions, including image analysis applications
• Support reliability engineering initiatives such as predictive maintenance and condition monitoring
• Perform tag mapping and data integration by reviewing and mapping sensor tags from DCS, SCADA, and Historians to platform inputs

Requirements

• 2+ years of hands-on experience in deploying analytics solutions, machine learning models, or rule-based systems
• Experience in quality assurance and validation processes for model performance
• Strong ability to work in a structured and scalable manner
• Hands-on experience with Industrial AI/ML solutions, particularly image analysis
• Understanding of reliability engineering concepts, including RCM (Reliability-Centred Maintenance), FMEA (Failure Modes and Effects Analysis), condition monitoring, and predictive maintenance
• Experience with tag mapping and data integration across industrial systems such as DCS, SCADA, and Historians

How to Apply

If you are passionate about applying AI and machine learning in industrial environments, we encourage you to apply.

Send your profile to: kiran.m@websynergies.com