- We are a global leader in electrification, powering the electricity era to meet the energy demands of today, and the next 25 years.
- As the energy arm of Hitachi Group, over three billion people depend on our pioneering, mission-critical technologies to power their daily lives.
- With over a century of innovation, we are addressing the most urgent energy challenge of our time: driving the evolution of the world’s energy system to ensure abundant, secure, affordable, and sustainable power for today’s generation and the next.
- With an unparalleled installed base in over 140 countries, we are the grid ecosystem partner across the utility, industry, data center, and transportation sectors.
- Headquartered in Switzerland, we employ over 56,000 people in 60 countries and generate revenues of around $20 billion USD. We welcome you to apply today.
Hitachi Recruitment Drive 2026 | Hitachi Hiring Software Engineer
The job you are looking for is no longer available..- Company Name
- Hitachi Energy
- Company Website
- https://www.hitachienergy.com/
- Job Role
- AI/ML Engineer
- Job Type
-
- Experienced
- Job Location
-
- Chennai
- Skills
-
- Microsoft Azure
- SQL
- Good Communication Skill
- Education
-
- BE/BTech
- ME/M.Tech
- Branch
-
- IT
- CS
- Job will expire on
- 19 Sep 2026
About Company
Job Overview
- 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.
Eligibility Criteria
- Bachelor’s (B.E / B.Tech) or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field.
- Hands‑on experience (academic, internship, or early professional) building AI/ML pipelines.
- Strong experience managing and configuring build agents (including self-hosted environments)
- Proficiency in Python, including ML and data libraries (e.g., scikit‑learn, TensorFlow/PyTorch, NumPy, Pandas).
- Exposure to Generative AI concepts, including large language models (LLMs), embeddings, prompt engineering, or RAG-based systems.
- Familiarity with agent‑based or multi‑step AI workflows (e.g., tool calling, orchestration, reasoning loops) at a conceptual or prototype level.
- Basic experience with cloud platforms (preferably Microsoft Azure) and AI/ML services.
- Experience working with structured and semi‑structured data using SQL databases and/or cloud storage.
- Understanding of core ML concepts, model evaluation, and responsible AI practices.
- Ability to collaborate effectively in a team-oriented, co‑development setup with engineers and domain experts.
- Strong analytical skills, clear communication, and a willingness to learn new technologies.
Job Description
- Develop and support end‑to‑end AI/ML pipelines for transformer design, operations, manufacturing, and service-related workflows, including data ingestion, model training, evaluation, and deployment.
- Assist in architecting cloud-based AI/ML and GenAI resources (compute, storage, AI services) based on solution requirements and use cases.
- Build and integrate Generative AI solutions such as LLM-based assistants, retrieval‑augmented generation (RAG) systems, and domain‑specific chatbots for engineering and operational users.
- Support the development of agentic AI workflows, where AI agents can reason, plan, and coordinate tasks across tools, data sources, and systems under defined guardrails.
- Co‑develop AI solutions in a collaborative, cross‑functional environment, working closely with transformer design engineers, operations teams, and digital product stakeholders.
- Help translate engineering and operational requirements into technical solution designs and modular AI architectures.
- Support the implementation of MLOps and GenAIOps practices, including automation, versioning, monitoring, and lifecycle management.
- Contribute to testing, validation, and performance tuning of AI/ML and GenAI solutions prior to deployment.
- Document solution designs, AI architectures, and pipeline workflows to support scalability and reuse across functions.
- Participate in design reviews, technical discussions, and continuous learning initiatives related to applied AI in the transformer domain.
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