Research Internship (Deep Learning, LLMs, Agentic AI)
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Job Description
About company
Hitachi America, Ltd.: A leading company focusing on innovative solutions for societal challenges.
Hitachi Energy: A renewable energy company that provides energy consulting services. Founded in 1950, it is headquartered in Bengaluru, Karnataka, India, with a team of 10,001+ employees. Hitachi Energy is a Public Company and has a track record of offering H1B sponsorships.
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Job description, detailed
Job Summary:
Hitachi America, Ltd. is seeking highly motivated undergraduate or graduate students for a Research Internship focused on deep learning, large language models (LLMs), and agentic AI-based services for industrial applications. Interns will be responsible for developing and evaluating machine learning algorithms and LLM-driven solutions.
Responsibilities:
• Collaborate with cross-functional teams to design and prototype deep learning and LLM-based agentic AI models for power systems and control applications.
• Explore and implement reinforcement learning, imitation learning, and LLM-driven agentic solutions for optimization and decision-making tasks in industrial settings.
• Analyze datasets, extract insights, and validate both model and agentic system performance.
• Present findings and contribute to technical documentation and research publications.
• Participate in regular team meetings, brainstorming sessions, and code reviews.
• Work with mentors to define research objectives and milestones, including those involving LLM-based agentic AI.
• Develop and test novel algorithms and agentic workflows for real-world industrial application.
• Review recent research papers on deep learning, LLMs, and agentic AI, applying relevant methods to ongoing projects.
• Communicate results through presentations and written reports.
Qualifications:
Required:
• Recently completed or currently enrolled in an undergraduate or graduate program in Computer Science, Electrical Engineering, Electronics, or other relevant engineering departments.
• Strong programming skills in Python (or similar languages) and some exposure to LangChain, LangGraph, or similar LLM orchestration frameworks.
• Coursework or experience in deep learning and large language models.
• Hands-on experience or coursework in building or integrating LLMs for agentic AI-based services, especially in industrial or engineering domains.
• Familiarity with machine learning frameworks (preferably PyTorch).
• Interest or background in power systems, control systems, or power management.
• Excellent communication and teamwork skills. Strong aptitude towards building and testing projects.
• Available for a full-time (40h/week) internship for a minimum of 3-4 months starting July/August 2024.
• Currently enrolled in or recent graduate of a master’s or higher degree course. Must be able to relocate to the internship location.
Preferred:
• Experience or exposure to agentic AI framework.
• Prior research or project experience in AI for physical systems or industrial applications, especially involving LLMs and agentic AI.
• Demonstrated ability to design, implement, or deploy LLM-powered agentic workflows for industrial or engineering use cases.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
