About the Hitachi Energy AI ML Engineer 2026 role

The Hitachi Energy AI ML Engineer 2026 role is part of Hitachi Energy’s Operation Center India (INOPC-PG) within the Transformers BU, which provides high-quality engineering and technology to Hitachi Energy worldwide. You will develop and support end-to-end AI/ML pipelines for transformer design, operations, manufacturing and service workflows – covering data ingestion, model training, evaluation and deployment.

You will also build Generative AI solutions such as LLM-based assistants, retrieval-augmented generation (RAG) systems and domain-specific chatbots – a strong start for engineers who want real applied-AI work.

Key responsibilities

• Develop and support end-to-end AI/ML pipelines including data ingestion, training, evaluation and deployment.
• Build and integrate Generative AI solutions – LLM assistants, RAG systems and domain chatbots.
• Support agentic AI workflows where agents reason, plan and coordinate tasks under defined guardrails.
• Assist in architecting cloud-based AI/ML and GenAI resources (compute, storage, AI services).
• Support MLOps and GenAIOps practices – automation, versioning, monitoring and lifecycle management.

Hitachi Energy AI ML Engineer 2026 – eligibility & requirements

To be eligible for the Hitachi Energy AI ML Engineer 2026 role, candidates should meet:

• A Bachelor’s (B.E / B.Tech) or Master’s in Computer Science, Data Science, AI, Software Engineering or a related field.
• Hands-on experience (academic, internship or early professional) building AI/ML pipelines.
• Proficiency in Python with ML and data libraries (scikit-learn, TensorFlow / PyTorch, NumPy, Pandas).
• Exposure to Generative AI – LLMs, embeddings, prompt engineering or RAG-based systems.
• Basic experience with cloud platforms (preferably Microsoft Azure) and SQL / cloud storage.

Selection process

The Hitachi Energy AI ML Engineer 2026 selection process usually includes a resume shortlist, an online or technical assessment on Python, ML fundamentals and problem solving, and one or two technical interviews on your AI/ML projects, model evaluation and cloud basics, followed by an HR round before the offer.

Documents required

• Updated resume (single-column, PDF) – build one free with our Resume Builder.
• Class X, XII and semester-wise marksheets (current CGPA).
• Government photo ID (Aadhaar / PAN / passport).
• Passport-size photograph as per portal specifications.
• College bonafide / no-objection certificate, if asked.

Preparation tips from selected candidates

• Strengthen Python plus scikit-learn, PyTorch / TensorFlow, NumPy and Pandas; revise core ML and model-evaluation concepts.
• Build one GenAI project (an LLM assistant or a RAG chatbot) and learn Azure ML or Databricks basics.
• Attempt at least two full-length timed mock tests – time pressure fails more candidates than difficulty (use our free aptitude practice tests).
• Prepare a crisp 90-second self-introduction – see our 5-part formula with sample answers.

How to apply for the Hitachi Energy AI ML Engineer 2026 role

To apply for the Hitachi Energy AI ML Engineer 2026 role, use the green “Apply on official portal” button on this page or open the official Hitachi Energy AI/ML Engineer listing (Ref R0124755). Create a profile, upload your resume and submit before the role closes. Explore more roles on our companies hiring freshers page.

About Hitachi Energy

Hitachi Energy is a global leader in electrification and the energy arm of Hitachi Group, with an installed base in over 140 countries, more than 56,000 employees and revenues of around $20 billion. Its India teams work on engineering and applied AI, making it a strong place for freshers to start an AI career.