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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 you’ll 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. 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. 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:

  • Bachelor’s degree 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.

  • Experience with cloud platforms, preferably Azure. Track record of working with industrial or IoT sensor data. 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.

Ubicación Chennai, Tamil Nadu, India
Tipo de empleo Full time
Modalidad de trabajo On-Site
Experiencia Entry Level
Función laboral Engineering & Science
Contrato Regular
Fecha de publicación 2026-07-24
Número de referencia R0099945

Sobre Hitachi Energy

Hitachi Energy es líder mundial en electrificación, impulsando la era de la electricidad para satisfacer las demandas energéticas actuales y las de los próximos 25 años. Como división energética del Grupo Hitachi, más de tres mil millones de personas dependen de nuestras tecnologías pioneras y de misión crítica para su vida cotidiana.

Con más de un siglo de innovación, estamos abordando el desafío energético más urgente de nuestro tiempo: impulsar la evolución del sistema energético mundial para garantizar una energía abundante, segura, asequible y sostenible para la generación actual y las futuras.

Con una base instalada sin igual en más de 140 países, somos el socio del ecosistema de la red eléctrica en los sectores de servicios públicos, industria, centros de datos y transporte. Con sede en Suiza, contamos con más de 56 000 empleados en 60 países y generamos ingresos de alrededor de 20 000 millones de dólares estadounidenses.