Hitachi Energy Careers Jobs 2026 | Hiring Freshers for AI/ML Engineers
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Hitachi Energy Careers Jobs 2026 : Hitachi Energy has announced an exciting career opportunity for fresh graduates by opening applications for the AI/ML Engineer position. Candidates who have completed a Bachelor’s or Master’s degree in relevant disciplines are eligible to apply. This is an excellent opportunity for aspiring AI and Machine Learning professionals who want to begin their careers with a global technology leader. The selected candidates will be based in Chennai. Interested applicants are encouraged to submit their applications as early as possible.
Hitachi Energy Careers Jobs 2026 Overview
| Particulars | Details |
|---|---|
| Company | Hitachi Energy |
| Job Role | AI/ML Engineer |
| Job Category | Off-Campus Drive |
| Qualification | Bachelor’s or Master’s Degree |
| Experience | Freshers |
| Salary | Best in Industry |
| Job Location | Chennai |
| Last Date to Apply | Apply As Soon As Possible |
Eligibility Criteria
To be considered for the AI/ML Engineer role, candidates should meet the following requirements:
- Bachelor’s (B.E./B.Tech) or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
- Practical exposure to AI/ML projects through academics, internships, or personal projects.
- Experience in configuring and managing build agents, including self-hosted environments.
- Strong programming skills in Python along with knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Understanding of Generative AI technologies, including Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).
- Familiarity with AI agent workflows, orchestration, tool calling, or reasoning-based AI systems.
- Basic knowledge of cloud computing platforms, preferably Microsoft Azure and its AI/ML services.
- Experience working with SQL databases and structured or semi-structured datasets.
- Good understanding of machine learning algorithms, model evaluation techniques, and responsible AI principles.
- Strong communication, analytical thinking, teamwork, and eagerness to learn emerging technologies.
Preferred Skills
Candidates with the following additional skills will have an advantage:
- Hands-on experience with Azure Machine Learning, Azure AI Studio, Databricks, or similar cloud AI platforms.
- Familiarity with popular LLM frameworks like LangChain, Semantic Kernel, or equivalent technologies.
- Basic knowledge of CI/CD pipelines, containerization technologies, MLOps, or GenAIOps.
- Understanding of engineering, manufacturing, industrial operations, or service workflows.
Roles and Responsibilities
As an AI/ML Engineer at Hitachi Energy, you will contribute to the development of innovative AI-powered solutions for engineering and industrial applications. Your responsibilities will include:
- Designing, developing, and maintaining end-to-end AI/ML pipelines for transformer engineering, manufacturing, operations, and service processes.
- Assisting in building cloud-based AI infrastructure using compute, storage, and AI services based on business requirements.
- Developing Generative AI applications such as AI assistants, domain-specific chatbots, and Retrieval-Augmented Generation (RAG) solutions.
- Supporting the implementation of intelligent AI agents capable of reasoning, planning, and coordinating tasks across multiple systems.
- Collaborating with cross-functional teams including engineers, operations experts, and digital product teams to deliver AI-driven solutions.
- Converting engineering and operational requirements into scalable AI architectures and technical solutions.
- Assisting with MLOps and GenAIOps implementation, including automation, version control, deployment, monitoring, and lifecycle management.
- Performing testing, validation, optimization, and performance tuning of AI models before deployment.
- Preparing technical documentation for AI solutions, workflows, and architecture to support future scalability.
- Participating in technical discussions, design reviews, and continuous learning initiatives focused on applied AI technologies.
Why Join Hitachi Energy?
Working at Hitachi Energy gives fresh graduates the opportunity to build innovative AI solutions while working alongside experienced engineers and technology experts. Employees gain exposure to advanced technologies including Generative AI, cloud computing, MLOps, and industrial AI applications, making it an ideal place to launch a successful career in Artificial Intelligence and Machine Learning.
How to Apply for Hitachi Energy Off Campus Drive 2026?
Candidates who meet the eligibility criteria can apply online through the official Hitachi Energy careers portal. Since applications are being accepted on a rolling basis, it is recommended to apply as early as possible to improve your chances of selection.
Apply Link : Click Here
And also apply in GlobalLogic Off Campus Recruitment 2026
Conclusion
The Hitachi Energy is a great opportunity for fresh graduates looking to build a career in Artificial Intelligence and Machine Learning. If you have a passion for AI, Python programming, cloud technologies, and Generative AI, this role offers an excellent platform to work on cutting-edge projects while learning from industry experts. Interested candidates should submit their applications without delay.
FAQs for Hitachi Energy Recruitment 2026
1. Who can apply for the Hitachi Energy Off Campus Drive 2026?
Candidates with a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fields are eligible to apply.
2. Is this opportunity open to freshers?
Yes. This recruitment drive is specifically open to fresh graduates who meet the required eligibility criteria.
3. Where is the job location?
The selected candidates will work at Hitachi Energy’s office in Chennai.
4. What skills are required for the AI/ML Engineer role?
Candidates should have knowledge of Python, Machine Learning, Generative AI, SQL, cloud platforms (preferably Azure), and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
5. What is the last date to apply?
There is no fixed application deadline. Interested candidates should apply as soon as possible since applications may close once positions are filled.
