AI/ML Engineer

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 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