Your Responsibilities:

• A technically skilled and multidisciplinary professional to support the development, deployment, and scaling of an end-to-end analytical solution for monitoring and optimizing the Vapor Phase Drying (VPD) process in transformer manufacturing.
• The candidate will work across software development, machine learning, data pipelines, and work with experts in dashboard design and machine learning

Programming & Development

• Strong proficiency in Python including modular scripting, virtual environments, and key libraries (pandas, numpy, scikit-learn, pyarrow, seaborn, plotly, MLflow)
• Solid understanding of Git version control and collaborative development
• Basic Docker containerization knowledge
• Experience with Windows/Linux environments and cloud cluster configuration

Data Engineering & Analytics

• Hands-on experience with Azure Data Explorer (Kusto) and Hive Metastore
• Understanding of ETL pipelines and data workflow orchestration
• Proficiency in SQL/NoSQL database systems and data access patterns
• Statistical analysis and hypothesis testing fundamentals

Azure Cloud Ecosystem

• Azure Machine Learning Service for model development and deployment
• Azure Databricks for big data processing (basic usage)
• Azure DevOps for CI/CD pipeline implementation
• Azure Data Factory for data pipeline creation and management
• Living Hitachi Energy’s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Machine Learning Expertise

    Model Development & Validation

• Experience training and validating ML models including Random Forest, Logistic Regression, KNN
• Specialized knowledge in Time Series Forecasting Models (AR, ARMA, ARIMA, Matrix Profile, Prophet)
• Feature engineering from industrial sensor signals (temperature, pressure, water extraction)
• Model interpretability using SHAP values or similar explainability methods
• Data labeling and management of industrial datasets

Your Background:

• BE / B.Tech in Computer Science, Data Science, AI/ML, or related discipline and at least 3-5 years of related working experience.