Hitachi Energy Hiring AI/ML Engineer | AI & GenAI
Role Overview
Job Overview Hitachi Energy is seeking an AI/ML Engineer to build enterprise AI, Machine Learning, Generative AI, and Agentic AI solutions supporting engineering and transformer business workflows. The role includes developing AI pipelines, cloud-based AI services, LLM applications, MLOps practices, and scalable AI architectures while collaborating with engineering and digital product teams. Key Responsibilities - Develop end-to-end AI/ML pipelines. - Build Generative AI and RAG solutions. - Develop LLM-powered assistants. - Support Agentic AI workflows. - Implement Azure-based AI resources. - Apply MLOps and GenAIOps practices. - Perform testing, validation, monitoring, and optimization. - Collaborate with engineering teams and document AI solutions. Required Skills Python, machine learning, deep learning, Generative AI, LLMs, cloud platforms, SQL, Azure AI services, analytical thinking, and teamwork. Preferred Skills Azure ML, Azure AI Studio, Databricks, LangChain, Semantic Kernel, CI/CD, containerization, and industrial systems knowledge. Education Bachelor's or Master's degree in a relevant technical discipline. Experience Hands-on academic, internship, or professional experience developing AI and ML solutions. Required Technologies Python, scikit-learn, TensorFlow, PyTorch, NumPy, Pandas, Azure, Azure ML, Azure AI Studio, Databricks, SQL, LLMs, RAG, Prompt Engineering, LangChain, Semantic Kernel, MLOps, GenAIOps, CI/CD, Containerization. Soft Skills Communication, collaboration, analytical thinking, documentation, continuous learning, and problem solving. Benefits of Working in this Role Opportunity to contribute to enterprise AI innovation while working with global engineering teams and modern AI technologies. Work Mode Onsite. Location Not specified. Who Should Apply Candidates with AI, ML, cloud, and Generative AI knowledge seeking enterprise engineering opportunities. Career Growth Potential progression into Senior AI Engineer, ML Engineer, AI Architect, GenAI Specialist, or Technical Lead roles. Application Advice Highlight Python, AI projects, LLM implementations, Azure knowledge, MLOps exposure, and cloud experience. Apply now through SoftoJobs to explore this opportunity.
Technical Ecosystem
Eligibility Criteria
Education
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field
Experience
0+ years
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