AI/ML Engineer
Core
Develop, deploy, and scale an end-to-end analytical solution for monitoring and optimizing the Vapor Phase Drying (VPD) process in transformer manufacturing.
Role type
Senior IC machine learning engineer (industrial IoT)
Builds
Production ML models and data pipelines for transformer manufacturing optimization
Domain
Industrial manufacturing / Energy / IoT
Deliverable
production ML models
Required skills
Python, pandas, numpy, scikit-learn, Azure Machine Learning, Azure Databricks, Azure Data Factory, SQL, NoSQL, Time Series Forecasting (ARIMA, Prophet), ETL pipelines, Git, Docker
Preferred skills
Cloud cluster configuration, CI/CD implementation, Random Forest, Logistic Regression, KNN
Technologies
Azure Cloud Ecosystem, Azure Data Explorer, Hive Metastore, MLflow, Kusto
Responsibilities
Develop and deploy ML models for VPD process optimization; Build and manage data pipelines using Azure Data Factory; Perform statistical analysis and hypothesis testing; Collaborate with R&D, IT, and production teams; Ensure compliance with internal regulations and safety guidelines.
Seniority
Mid-Senior, hands-on IC