AI/ML Engineer

The opportunity

How You’ll Make An Impact

• 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.
• 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
• Experience with Windows/Linux environments and cloud cluster configuration. Basic Docker containerization knowledge.
• 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 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.
• 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).
• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
  

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.
• 2-3 years in Machine Learning or Data Science roles. Track record of working with industrial or IoT sensor data.
• At least 2 end-to-end ML projects successfully deployed in production. Experience with cloud platforms, preferably Azure.
• Understanding of ethical considerations in AI. Ability to collaborate effectively across R&D, IT, production, and business teams.
• Clear technical communication and comprehensive documentation skills. Proactive problem-solving and process optimization approach.
• Strong analytical thinking and systematic troubleshooting abilities.
• Proficiency in both spoken & written English language is required.