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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.

Localização Chennai, Tamil Nadu, India
Tipo de emprego Full time
Work Arrangement On-Site
Experiência Entry Level
Função do trabalho Engineering & Science
Contrato Regular
Data de publicação 2026-07-24
Número de referência R0099945

Sobre a Hitachi Energy

A Hitachi Energy é líder global em eletrificação, impulsionando a era da eletricidade para atender às demandas energéticas de hoje e dos próximos 25 anos. Como o braço de energia do Grupo Hitachi, mais de três bilhões de pessoas dependem de nossas tecnologias pioneiras e de missão crítica para alimentar seu dia a dia.

Com mais de um século de inovação, estamos enfrentando o desafio energético mais urgente de nossa época: impulsionar a evolução do sistema energético mundial para garantir energia abundante, segura, acessível e sustentável para a geração atual e as próximas.

Com uma base instalada incomparável em mais de 140 países, somos o parceiro do ecossistema de redes elétricas nos setores de serviços públicos, indústria, data centers e transporte. Com sede na Suíça, empregamos mais de 56.000 pessoas em 60 países e geramos receitas de cerca de US$ 20 bilhões.