Job Overview:

We are seeking a skilled ML Engineer with experience in deploying analytics solutions, machine learning models, and rule-based systems. The ideal candidate will have strong validation and quality assurance capabilities, along with experience working in industrial environments such as manufacturing, oil & gas, and chemical sectors.

Key Responsibilities

• Deploy analytics solutions, ML models, and rule-based decision systems in real-world operational environments.
• Define and execute validation steps to ensure model accuracy, robustness, and reliability.
• Document processes and maintain structured, scalable workflows, checklists, and standard practices.
• Work on Industrial AI/ML use cases such as predictive maintenance, process optimisation, anomaly detection, and condition monitoring.
• Apply reliability engineering concepts including RCM (Reliability Centred Maintenance), FMEA, and condition-based monitoring approaches.
• Perform tag mapping and data integration activities, reviewing and mapping sensor tags from DCS, SCADA, and Historian systems to platform inputs.

Skills & Experience Required

• Minimum of 3 years’ hands-on experience in ML deployment, analytics solutions, or rule-based models.
• Strong skills in model validation, quality checks, and reliability assessment.
• Proficiency in building structured, repeatable, and scalable workflows.
• Experience in Industrial AI/ML applications across manufacturing, oil & gas, or chemical industries.
• Understanding of reliability engineering methodologies such as RCM and FMEA.
• Experience working with industrial data sources and tag mapping.

How to Apply

If this opportunity aligns with your profile, please contact Kiran Muppaneni – kiran.m@websynergies.com.