AI Data Science Co-op: Generative Models & Knowledge Base

Doosan Bobcat North America, Inc

West Fargo (ND)

On-site

USD 32,000 - 36,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Tuition reimbursement for co-op/intern
Relocation reimbursements
Monthly stipend $250
Housing/interview travel reimburse

Job summary

Doosan Bobcat North America, Inc invites motivated students to join a joint Co-op/Intern program focused on Generative AI, problem solving and task automation. You will work with product managers to translate needs into functional specs and build an intelligent agent integrated with ERP/CRM data sources.

Roles span Knowledge Base, RAG, vector databases and cloud deployment. Expect mentorship from data scientists and DevOps, with opportunities to showcase a real AI product in a global

Qualifications

  • Pursuing a bachelor’s degree in CS, data science, engineering or related field.
  • Familiarity with Python, JS/TS and data processing libraries is a plus.
  • Interest in AI product development and cloud services for deployment.

Responsibilities

  • User Need Analysis with product managers to identify pain points.
  • Design and implement an LLM powered conversation engine and integration layers.
  • Build and test REST/GraphQL endpoints connecting to external data sources.
  • Develop Knowledge Base schemas, ingestion pipelines and RAG pipelines.
  • Deploy AI components in cloud containers and monitor performance.
  • Iterate on the agent to enhance accuracy and user satisfaction.

Skills

Python
JavaScript/TypeScript
SQL/NoSQL
ETL Pipelines
REST/GraphQL
AWS Services

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Tools

REST/GraphQL services
AWS Bedrock/S3/Lambda/SageMaker
Pandas/Spark

Job description

Doosan Bobcat North America, Inc invites motivated students to join a joint Co-op/Intern program focused on Generative AI, problem solving and task automation. You will work with product managers to translate needs into functional specs and build an intelligent agent integrated with ERP/CRM data sources.

Roles span Knowledge Base, RAG, vector databases and cloud deployment. Expect mentorship from data scientists and DevOps, with opportunities to showcase a real AI product in a global

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