AI/ML Engineer

Hitachi Automotive Systems Americas, Inc.; Chennai District; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED in Chennai, Tamil Nadu, India is seeking an AI/ML Engineer to develop, deploy, and scale an end-to-end analytical solution for monitoring the Vapor Phase Drying (VPD) process in transformer manufacturing. The role spans software development, ML, data pipelines, and dashboard design, with a strong emphasis on production-grade solutions.

The ideal candidate has 3–5 years of ML/Data Science experience, hands-on Azure cloud expertise, and a track

Qualifications

• Bachelor's degree in CS/Data Science or related field.
• 3–5 years of ML/Data Science experience with at least 2 end-to-end projects deployed.
• Experience with Azure cloud services and data pipelines.
• Strong Python and SQL skills, with good documentation.

Responsibilities

• Develop, deploy, and scale an end-to-end analytical solution for VPD monitoring.
• Collaborate across software, ML, data pipelines, and dashboard design teams.

Skills

Python

Machine Learning

Data Analysis

SQL

English Communication

Education

Bachelor's degree in CS/Data Science/AI

Tools

Azure

Azure Data Factory

Azure Databricks

MLflow

Git

Docker

Job description

Location:Chennai, Tamil Nadu, IndiaJob ID:R0099945Date Posted:2025-07-14Company Name:HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITEDProfession (Job Category):Engineering & ScienceJob Schedule:Full timeRemote:NoJob 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 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.Accessibility and reasonable accommodationQualified 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 general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.Use of Al and automated tools in recruitmentAs part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.Background Screening and Security ChecksAs part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.