Remote AI Acceleration Intern - Development Lifecycle

Zoetis Inc

Parsippany-Troy Hills (NJ)

Hybrid

USD 23,000 - 55,000

Full time

2 days ago
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Job summary

Zoetis Inc is seeking an AI Acceleration Intern to join the AI Hub within Zoetis Tech & Digital. This remote internship offers exposure to the full AI development lifecycle from idea to production, supporting pilots, documenting standards, and tracking acceleration metrics.

Ideal candidates are pursuing a BS/MS in CS/DS or related fields, with basic AI/ML knowledge and exposure to cloud platforms (Azure/AWS/Databricks a plus). Strong writing and communication skills are valued.

Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree in CS, DS, IS, CE, SE, Biz Analytics, or related field.
  • Basic understanding of AI/ML concepts, including generative AI and LLMs.
  • Exposure to cloud or data platforms such as Azure, AWS, or Databricks is a plus.
  • Familiarity with SDLC or Agile methodologies; Python/SQL/Jira/Confluence preferred.

Responsibilities

  • Support planning and execution of AI pilots and proofs of concept with milestones and feedback.
  • Document and enhance AI development lifecycle standards, templates, and playbooks.
  • Review AI use case pipeline health and develop dashboards to track metrics.
  • Assist in researching AI tools and evaluating new use cases for business value.
  • Prepare updates for leadership forums and contribute to the AI Council.

Skills

Python
SQL
Jira
Confluence
SDLC
Agile
Communication
Analytics
AI concepts

Education

Bachelor's degree in Computer Science or related field
Master's degree in CS/Data Science or related

Tools

Azure
AWS
Databricks

Job description

Zoetis Inc is seeking an AI Acceleration Intern to join the AI Hub within Zoetis Tech & Digital. This remote internship offers exposure to the full AI development lifecycle from idea to production, supporting pilots, documenting standards, and tracking acceleration metrics.

Ideal candidates are pursuing a BS/MS in CS/DS or related fields, with basic AI/ML knowledge and exposure to cloud platforms (Azure/AWS/Databricks a plus). Strong writing and communication skills are valued.

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