Spring 2027 AI Data Science Co‑op / Intern

Doosan Corporation; Buford (GA); On-site; USD 22,000 - 36,000; Full time

Benefits offered by this job

Competitive pay

Real‑world projects

Tuition reimbursement

Monthly stipend

Job summary

Doosan Bobcat NA US is offering a Data Science Student Experience for Spring 2027. The program exposes undergraduates to AI agent development, knowledge bases, and cloud deployment.

You will collaborate with product managers to translate business needs into AI solutions and gain hands-on experience on real-world projects. You will work with teams across AI, data engineering, and DevOps to build end-to-end capabilities including RAG pipelines, vector databases, and deployment in cloud

Qualifications

• Pursuing a bachelor’s degree in CS, data science, engineering or related field.
• Familiarity with Python and JavaScript/TypeScript is a plus.
• Experience with SQL/NoSQL databases, ETL pipelines and data processing libraries (pandas, Spark).
• Experience building or consuming REST/GraphQL services.
• Knowledge of AWS services (Bedrock, S3, Lambda, SageMaker) or equivalent.

Responsibilities

• Support the design and development of an AI agent framework.
• Assist in integrating REST/GraphQL services with data sources.
• Contribute to knowledge-base design and RAG-based retrieval pipelines.
• Help deploy and monitor AI solutions in cloud environments.

Skills

Python

JavaScript/TypeScript

REST/GraphQL

AWS

SageMaker

Pandas

Spark

Education

Bachelor’s degree in Computer Science, Data Science, Engineering

Tools

Python

JavaScript/TypeScript

SQL/NoSQL

ETL Pipelines

REST/GraphQL

AWS Bedrock

S3

Lambda

SageMaker

Pandas

Spark

Job description

Doosan Bobcat NA US is offering a Data Science Student Experience for Spring 2027. The program exposes undergraduates to AI agent development, knowledge bases, and cloud deployment.

You will collaborate with product managers to translate business needs into AI solutions and gain hands-on experience on real-world projects. You will work with teams across AI, data engineering, and DevOps to build end-to-end capabilities including RAG pipelines, vector databases, and deployment in cloud