Digital Engineering Co-Op: AI, Data & Cloud

Johnson & Johnson MedTech; New Brunswick (NJ); On-site; USD 28,000 - 41,000; Part time

Benefits offered by this job

Medical benefits

Sick time

Pension plan

Job summary

engineeringjobs.net, Inc. is seeking a co-op to support Digital Engineering solutions by defining technical requirements with data scientists and engineers, managing documentation, and creating data dashboards.

You will assist in implementing cloud and AI-based applications to drive innovation and efficiency. This role offers exposure to analytics tools and cross-functional collaboration within a dynamic engineering environment, ideal for students building practical experience in AI, cloud, and

Qualifications

• Candidates must have completed their undergraduate freshman year and be pursuing a degree in Computer Science, Data & Analytics, Industrial Engineering, or AI.
• A cumulative GPA of 3.0 or higher is required, along with proficiency in software development, cloud platforms, and data management.

Responsibilities

• Define technical requirements and specifications in collaboration with data scientists and engineers.
• Manage digital engineering documentation and create data dashboards.
• Assist in the implementation of cloud and AI-based applications.

Skills

Computer science

Data analytics

Artificial intelligence

Cloud computing

Software development

Full stack development

JavaScript

Python

Java

SQL

Power BI

API development

SharePoint

Automation

Machine learning

Neural networks

Education

Pursuing undergraduate degree in CS/Data & Analytics/Industrial Engineering/AI

Tools

Power BI

SharePoint

API development

Job description

engineeringjobs.net, Inc. is seeking a co-op to support Digital Engineering solutions by defining technical requirements with data scientists and engineers, managing documentation, and creating data dashboards.

You will assist in implementing cloud and AI-based applications to drive innovation and efficiency. This role offers exposure to analytics tools and cross-functional collaboration within a dynamic engineering environment, ideal for students building practical experience in AI, cloud, and