Description
AI / ML Engineer :
Business Information :
The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 3000 skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, it has evolved to become the largest engineering hub. The India Operations Centre is a key aspect of the Power Grids business Power Up transformation program. The INOPC team in Chennai supports Hitachi Energy’s units in over 40 countries, covering all four business units in the Power Grid sector. To date, the team has executed engineering and commissioning for projects in more than 80 countries.
Mission Statement :
As a 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.
Your Responsibilities :
- 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
Programming & Development
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 developmentBasic Docker containerization knowledgeExperience with Windows / Linux environments and cloud cluster configurationData Engineering & Analytics
Hands-on experience with Azure Data Explorer (Kusto) and Hive MetastoreUnderstanding of ETL pipelines and data workflow orchestrationProficiency in SQL / NoSQL database systems and data access patternsStatistical analysis and hypothesis testing fundamentalsAzure Cloud Ecosystem
Azure Machine Learning Service for model development and deploymentAzure Databricks for big data processing (basic usage)Azure DevOps for CI / CD pipeline implementationAzure Data Factory for data pipeline creation and managementLiving Hitachi Energy’s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.Machine Learning Expertise
Model Development & Validation
Experience training and validating ML models including Random Forest, Logistic Regression, KNNSpecialized knowledge in Time Series Forecasting Models (AR, ARMA, ARIMA, Matrix Profile, Prophet)Feature engineering from industrial sensor signals (temperature, pressure, water extraction)Model interpretability using SHAP values or similar explainability methodsData labeling and management of industrial datasetsYour Background :
BE / B.Tech in Computer Science, Data Science, AI / ML, or related discipline and at least 3-5 years of related working experience.Preferred Skills :
2-3 years in Machine Learning or Data Science rolesAt least 2 end-to-end ML projects successfully deployed in productionExperience with cloud platforms, preferably AzureTrack record of working with industrial or IoT sensor dataUnderstanding of ethical considerations in AI.Communication & Collaboration
Ability to collaborate effectively across R&D, IT, production, and business teamsClear technical communication and comprehensive documentation skillsEnglish proficiency at B2+ level or higherProfessional Mindset
Proactive problem-solving and process optimization approachStrong analytical thinking and systematic troubleshooting abilitiesCapability to formalize operational knowledge and transfer expertise to team membersStaying Updated :
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.Domain Expertise
Foundations of Power Transformers - understanding of electrical equipment principlesKnowledge of Vapor Drying Technology - familiarity with the underlying physics and industrial processesAdditional Experience
Previous work in energy, utilities, or industrial manufacturing sectorsExperience with predictive maintenance or industrial IoT applicationsFamiliarity with regulatory requirements in the electrical equipment industryQualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
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