AI/ML Engineer

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Job Description:

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 development
• Basic Docker containerization knowledge
• Experience with Windows/Linux environments and cloud cluster configuration

Data Engineering & Analytics

• 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
• Living 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, KNN
• Specialized 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 methods
• Data labeling and management of industrial datasets

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.

Preferred Skills:

• 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.

Communication & Collaboration

• Ability to collaborate effectively across R&D, IT, production, and business teams
• Clear technical communication and comprehensive documentation skills
• English proficiency at B2+ level or higher

Professional Mindset

• Proactive problem-solving and process optimization approach
• Strong analytical thinking and systematic troubleshooting abilities
• Capability to formalize operational knowledge and transfer expertise to team members

Staying 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 principles
• Knowledge of Vapor Drying Technology - familiarity with the underlying physics and industrial processes

Additional Experience

• Previous work in energy, utilities, or industrial manufacturing sectors
• Experience with predictive maintenance or industrial IoT applications
• Familiarity with regulatory requirements in the electrical equipment industry