AI/ML Engineer

Hitachi, Ltd.; Chennai District; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Hitachi Energy is seeking an AI/ML Engineer to join the Operation Center, INOPC-PG, to develop and scale analytics for monitoring the Vapor Phase Drying process in transformer manufacturing.

You will work across software development, ML, and data pipelines, partnering with dashboard and ML experts. Proficiency in Python and Azure services is required, with exposure to Git and Docker.

Qualifications

• Bachelor's degree in CS/DS/AI-ML or related field with 3–5 years of experience.
• 2–3 years in ML or Data Science roles with at least 2 end-to-end ML deployments in production.
• Experience with Azure cloud platforms and industrial/IoT sensor data.
• Strong collaboration and documentation skills; proficient English.

Responsibilities

• Develop, deploy, and scale end-to-end analytical solutions for monitoring the VPD process in transformer manufacturing.
• Collaborate across software, ML, data pipelines, dashboards and ML experts.
• Implement and maintain Python-based data workflows and modular code.
• Work with Git and basic Docker containerization for reproducible pipelines.
• Configure and operate Azure cloud services and data platforms (Azure AD, Databricks, Data Factory).

Skills

Python

ML/DS

Git

Docker (basic)

SQL/NoSQL

Azure cloud

Time Series Forecasting

Dashboard design

ETL pipelines

Communication

Education

Bachelor's in Computer Science / Data Science / AI/ML

Tools

Azure Machine Learning

Azure Databricks

Azure Data Factory

Azure DevOps

Azure Data Explorer (Kusto)

Hive Metastore

Python libraries (pandas, numpy, scikit-learn)

MLflow

Job description

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 yourcolleagues 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.