Data Scientist - Artificial Intelligence Intern

About IBM Consulting

IBM Consulting works with clients over the long term, collaborating across geographies and industries to help them advance hybrid cloud and AI initiatives. Backed by IBM’s technology ecosystem, strategic partnerships, and Red Hat, the team focuses on delivering practical outcomes and business impact. The environment encourages curiosity, experimentation, and fresh thinking, while also supporting steady career growth, empathy, and the use of individual strengths.

Role Summary

This position focuses on building and applying advanced artificial intelligence solutions, with a strong emphasis on large language models and agent-based workflows for complex real-world challenges. The role offers hands-on exposure to modern AI tools and techniques while contributing to high-value generative AI work.

Key Work Areas

• Develop and validate multimodal AI systems that combine text, images, and other forms of data.
• Design autonomous AI agents that can reason through multiple steps and complete tasks independently.
• Build tool-enabled agents that can connect with APIs, databases, and other external platforms.
• Create orchestration workflows that support coordination across multiple AI agents.
• Contribute to projects centered on large language models and agentic automation.

Technical Requirements

• Strong programming ability in Python.
• Practical experience with PyTorch or TensorFlow.
• Familiarity with generative AI tools and frameworks such as LangChain, Hugging Face, or the OpenAI API.
• Solid working knowledge of Pandas, NumPy, and scikit-learn.
• Comfort using SQL for database-related tasks.

Additional Information

This role is based in Singapore, Singapore.

Responsibilities

• Develop and validate multimodal AI systems that combine text, images, and other forms of data.
• Design autonomous AI agents that can reason through multiple steps and complete tasks independently.
• Build tool-enabled agents that can connect with APIs, databases, and other external platforms.
• Create orchestration workflows that support coordination across multiple AI agents.
• Contribute to projects centered on large language models and agentic automation.

Requirements

• Strong programming ability in Python.
• Practical experience with PyTorch or TensorFlow.
• Familiarity with generative AI tools and frameworks such as LangChain, Hugging Face, or the OpenAI API.
• Solid working knowledge of Pandas, NumPy, and scikit-learn.
• Comfort using SQL for database-related tasks.