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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.

就業場所 Chennai, Tamil Nadu, India
職種 Full time
勤務形態 On-Site
体得 Entry Level
職務 Engineering & Science
契約 Regular
発行日 2026-07-24
整理番号 R0099945

日立エナジーについて

日立エナジーは、現在そして今後25年間のエネルギー需要に応えるべく、電力の時代を支え、次の未来を切り拓くグローバルリーダーです。日立グループのエネルギー事業部門として、先進的かつミッションクリティカルな技術で、30億人以上の人々の生活を支えています。

当社は、100年以上にわたるイノベーションを通じて、エネルギー分野の喫緊の課題に取り組んでいます。それは、現在、そして次世代のために、豊富で安全、経済的かつ持続可能な電力を確保するため、世界のエネルギーシステムの進化を推進することです。

世界140カ国以上での豊富な導入実績を有し、電力、産業、データセンター、交通の各産業分野のお客さまと長期的なパートナーシップを築いています。スイスに本社を置き、60カ国で56,000人以上の従業員を擁し、約2兆4,000億円の事業規模を有しています。