Job Overview:

We are seeking a skilled ML Engineer with hands-on experience in Industrial AI/ML solutions and analytics deployment. The ideal candidate will have practical exposure to deploying machine learning or rule-based models, along with strong validation and quality assurance capabilities.

This role focuses on industrial environments, particularly image analysis, reliability engineering, and large-scale sensor data integration.

Key Responsibilities

• Deploy analytics solutions, machine learning models, and rule-based models in industrial environments
• Perform quality assurance and validation activities to ensure model accuracy and reliability
• Define and execute validation steps for production-ready ML solutions
• Work in a structured and scalable manner using process documentation, checklists, and repeatable workflows
• Develop and support Industrial AI/ML solutions, including image analysis use cases
• Apply reliability engineering concepts such as RCM (Reliability-Centred Maintenance), FMEA (Failure Modes and Effects Analysis), condition monitoring, and predictive maintenance
• Perform tag mapping and data integration by reviewing and mapping sensor tags from DCS, SCADA, and Historians into platform inputs

Required Skills & Experience

• 3+ years of overall professional experience
• Minimum 2+ years of hands-on experience deploying analytics solutions, ML models, or rule-based models
• Experience in Industrial AI/ML solutions, particularly image analysis
• Strong quality assurance and validation skills
• Understanding of reliability engineering concepts (RCM, FMEA, condition monitoring, predictive maintenance)
• Experience with tag mapping and integration of sensor data from DCS, SCADA, and Historians
• Ability to work in a structured, scalable, and process-driven manner