PANI
← Open roles
Hitachi Energy logo

AI ML Engineer

Hitachi Energy · Chennai

Job boardAI / MLApply link unavailable

Apply link unavailable

We don't have a safe employer apply link for this listing. Get alerts for similar roles instead.

Browse open roles

Get notified when similar roles open

Job alerts from PANI only. Unsubscribe anytime.

Stand out beyond the resume. Get your free PANI score from public GitHub work (~2 min).

From the original post

Hitachi Energy AI ML Engineer 2026 is open – Hitachi Energy is hiring an AI/ML Engineer at its Chennai Operation Center (INOPC-PG). It suits candidates with a B.E / B.Tech or Master's in Computer Science, Data Science or AI who have hands-on academic, internship or early-professional experience building AI/ML pipelines with Python, and exposure to Generative AI, LLMs and Azure. Apply online on the official Hitachi Energy careers portal (Ref R0124755). 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. Requirements: 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. Required Skills: Python, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure, MLOps, Cloud Platforms, SQL, Data Pipelines

Spotted on Job board and surfaced by PANI.