AI / ML Engineer

The opportunity

As an AI/ML Engineer, you will be part of Operation Center, India (INOPC-PG), aiming to develop a global value chain, where key business activities, resources, and expertise are shared across geographic boundaries to optimize value for Hitachi Energy customers across markets. As part of Transformers BU, we provide high-quality engineering and Technology to Hitachi Energy world. This is an important step from Hitachi Energy's Global Footprint strategy.

How youll make an impact:

• 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.
• 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.
• Understanding of ETL pipelines and data workflow orchestration. Proficiency in SQL/NoSQL database systems and data access patterns.
• 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.
• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
• Living Hitachi Energys core values 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. At least 2 end-to-end ML projects successfully deployed in production.
• 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.
• Keep abreast of the latest advancements in AI/ML technologies, algorithms, and industry trends. Evaluate and experiment with new tools and techniques to improve existing systems and processes.
• Foundations of Power Transformers - understanding of electrical equipment principles. Knowledge of Vapor Drying Technology - familiarity with the underlying physics and industrial processes.
• Experience with predictive maintenance or industrial IoT applications. Familiarity with regulatory requirements in the electrical equipment industry.
• Experience with cloud platforms, preferably Azure. Track record of working with industrial or IoT sensor data.
• Proficiency in both spoken & written English language is required.