AI Intern: Smart Manufacturing & Industry 4.0

Cognizant

Austin (TX)

On-site

USD 29,550,000 - 42,086,000

Full time

14 days+
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Job summary

Cognizant is seeking an AI Intern to support Industry 4.0 and smart manufacturing initiatives, leveraging AI/ML, IoT, analytics, and AWS IoT cloud services. You will work with Cognizant's Manufacturing Innovation Center in MxD, Chicago, on cross-functional teams to design, test, and document innovative solutions.

Responsibilities include developing use cases, training AI models, and assisting with demos for client visits.

Qualifications

  • Enrolled in a STEM bachelor’s program (CS, IS, DS, SE).
  • Able to work part-time 20 hours/week for the internship duration.
  • Strong written and verbal communication skills.
  • Proven teamwork and leadership with client service focus.
  • Proficient in MS Office: Excel, Word, PowerPoint.

Responsibilities

  • Develop and implement digital manufacturing use cases with cross-functional teams, including designing, configuring, testing, and documenting innovative solutions.
  • Gain hands-on experience with MES, SCADA, PLC, machines and equipment, wireless sensors, cameras, and cobots/robots.
  • Train AI models by creating data, documents, images, and videos for model training.
  • Support client visits and tours by preparing and running demos, documenting topics, and helping control AV and streaming.
  • Stay current with the latest advancements in digital manufacturing technologies while contributing to solutions that meet client and market needs.

Skills

Excellent communication
Teamwork & leadership
MS Office (Excel, Word, PowerPoint)
Part-time availability 20 hours/week
Self-motivated

Education

Bachelor's degree program in STEM (CS/IS/DS/SE)

Tools

MES
SCADA
PLC

Job description

Cognizant is seeking an AI Intern to support Industry 4.0 and smart manufacturing initiatives, leveraging AI/ML, IoT, analytics, and AWS IoT cloud services. You will work with Cognizant's Manufacturing Innovation Center in MxD, Chicago, on cross-functional teams to design, test, and document innovative solutions.

Responsibilities include developing use cases, training AI models, and assisting with demos for client visits.

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