ML Engineer

MaintWiz is building an AI-first CMMS, leveraging our rich maintenance, equipment, and operational datasets to deliver predictive, prescriptive, and automated intelligence. As a Machine Learning Engineer focused on CMMS data, you will design, build, and deploy ML models that directly improve asset reliability, reduce downtime, optimize spare parts inventory, and enhance maintenance decision-making.
Technical Skills1) Handson experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).2) Experience with time-series forecasting, anomaly detection, and NLP.3) Proficiency in Python and SQL; familiarity with Spark or distributed data processing.4) Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).5) Deep Domain Knowledge6) Experience working with asset management, manufacturing, IoT, or CMMS-related datasets is highly preferred.7) Understanding of maintenance KPIs, asset hierarchies, and work order processes.8) Experience deploying ML models in CMMS / EAM / Manufacturing data.9) Exposure to IoT device data, sensor fusion, and predictive maintenance platforms.

Degree in Computer Science Engineering or relevant discipline. MBA degree is an advantage
2-5 years of experience in building ML models related to Plant Maintenance, Asset Management, O&M, Reliability, Condition Monitoring.