Summer AI/ML & Automation Internship (Paid, Hybrid)

CareSource; United States; Hybrid; USD 41,000 - 66,000; Full time

Benefits offered by this job

Mentor program

Paid summer internship

Networking with leaders

Flexible work options

Job summary

CareSource is offering a 12-week paid summer internship for college students seeking real-world experience in AI/ML. Interns will design and develop AI/ML systems, collaborate with a dedicated team, and contribute to automation and testing efforts across the department.

Mentorship, exposure to leadership, and opportunities to test learned skills in practical projects are provided. Flexible options include on-site, hybrid, and remote arrangements to fit students’ schedules.

Qualifications

• High School Diploma or equivalent is required.
• Current Rising Junior or Senior in an accredited degree program or graduated within the last 6 months is required.

Responsibilities

• Design and develop AI/ML systems to enhance process efficiency and support automation initiatives within the department.
• Collaborate with the AI/ML team to build, train, and deploy machine learning models, contributing to the creation of cognitive bots for advanced problem-solving.
• Participate in the automation of testing processes, working with engineers to develop scripts and tools that streamline testing workflows.
• Stay current with emerging technologies, applying innovative solutions and industry best practices to ongoing projects.
• Contribute to cross-functional projects, supporting teams in exploring new technology applications and troubleshooting technical issues.

Skills

Microsoft Office

Communication

Teamwork

Problem solving

Fast-paced

Independent work

Education

High School Diploma

Rising College Junior/Senior

Job description

CareSource is offering a 12-week paid summer internship for college students seeking real-world experience in AI/ML. Interns will design and develop AI/ML systems, collaborate with a dedicated team, and contribute to automation and testing efforts across the department.

Mentorship, exposure to leadership, and opportunities to test learned skills in practical projects are provided. Flexible options include on-site, hybrid, and remote arrangements to fit students’ schedules.