We are looking for an AI/ML Specialist who can build intelligent systems using OT sensor data and Azure ML tools. You will work closely with data scientists, engineers, and operations teams to create scalable AI solutions that solve critical manufacturing challenges like predictive maintenance, process optimization, and anomaly detection. This role bridges the edge and cloud environments, deploying AI to run either in the cloud or on industrial edge devices

Key Functions:

Design and develop ML models using time-series sensor data from OT systems Collaborate with engineering and data science teams to translate manufacturing problems into AI use cases Implement MLOps pipelines on Azure ML and integrate with Databricks/Delta Lake Deploy and monitor models at the edge using Azure IoT Edge Conduct model validation, retraining, and performance monitoring- Work with plant operations to contextualize insights and embed them into workflows

Qualifications needed

5+ years of experience in machine learning and AI Hands-on experience with Azure ML, ML flow, Databricks, and PyTorch/TensorFlow Proven ability to work with OT sensor data (temperature, vibration, flow, etc.) Strong background in time-series modeling, edge inferencing, and MLOps  Familiarity with manufacturing KPIs and predictive modeling use cases