Key Responsibilities: Build machine learning models to predict asset health, process anomalies, and optimize operations. Work on sensor data pre-processing, model training, and inference deployment. Collaborate with simulation engineers for closed-loop systems.Skills Required: Experience in time-series modeling, regression/classification, and anomaly detection. Familiarity with Python, scikit-learn, TensorFlow/PyTorch. Experience with ML Ops on Azure ML, Databricks, or similar. Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time).
Location - Bengaluru,India,Hyderabad,Chennai,Pune,Noida

Keyskills: python scikit-learn data bricks tensorflow pytorch natural language processing neural networks numpy machine learning azure devops artificial intelligence sql pandas deep learning system integration java data science computer vision keras opencv