Generative AI Intern

Overview

Develop and implement generative AI models for rail signalling and data analytics.

Key Responsibilities

• ml design
• predictive modeling
• model testing
• data tagging
• recommendation engine
• ai development

Tasks

-Working with the Software team and Product Owner for Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. -Developing ML algorithms to analyze huge volumes of historical data to make predictions. -Running tests, performing statistical analysis, and interpreting test results. -Transforming data science prototypes and applying appropriate ML algorithms, Generative AI model and tools. -Consulting with managers to determine and refine machine learning objectives. -Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. -Ensuring that algorithms generate accurate user recommendations.

Requirements

• python
• java
• r
• llm frameworks
• generative ai
• problem solving

What You Bring

-Currently pursuing a degree in Computer Science, Data Science, Mathematics, or a related field. -Analytical and problem-solving abilities. -Candidates who are available to join between Early March 2026 and Mid-March 2026 will be preferred. -Great communication and collaboration skills. -Students who are able to commit to a minimum of 6 months full-time credit-bearing internships are preferred. -Knowledge of Large Language model frameworks, libraries, data structures, data modeling, and software architecture. -Knowledge of mathematics, statistics, and algorithms. -Good in time management and organizational abilities. -Knowledge in computational linguistics, generative AI, data analytics, or similar will be advantageous. -Proficiency with Python, Java, or R code writing.

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Benefits

-Attractive conditions: A secure and permanent job with a global company

About Hitachi Rail

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Sector Specialisms