AI Intern: Build Real-World ML Solutions & Dashboards

Sabre Systems Inc.; Lexington Park (MD); On-site; USD 25,000 - 28,000; Part time

Job summary

Sabre Systems Inc. is seeking a motivated AI Intern to help leverage AI across business units. You will work with cross-functional teams to identify AI opportunities, develop solutions, and support AI-driven processes.

The internship offers hands-on experience applying AI to real-world challenges while contributing to strategic goals. Responsibilities include collaborating with units, analyzing workflows, developing ML models, and creating dashboards to communicate insights to non-technical

Qualifications

• Pursuing a degree in computer science, data science, AI, or related fields.
• Strong analytical and problem-solving abilities.
• Excellent communication to explain concepts to non-technical audiences.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Understanding of Agile methodologies and project management tools.

Responsibilities

• Collaborate with business units to identify AI-driven improvements.
• Analyze workflows to recommend AI solutions aligned with objectives.
• Assist in developing and deploying ML models for business needs.
• Support integration of AI tools into existing systems.
• Create dashboards and visualizations to communicate insights.
• Document methodologies and lessons learned for knowledge sharing.
• Ensure data security, privacy, and ethics in AI work.

Skills

Analytical skills

Communication skills

Python

R

Java

NLP

Agile

Education

Bachelor's degree in Computer Science (in progress)

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

Matplotlib

Seaborn

AWS

Azure

GCP

Job description

Sabre Systems Inc. is seeking a motivated AI Intern to help leverage AI across business units. You will work with cross-functional teams to identify AI opportunities, develop solutions, and support AI-driven processes.

The internship offers hands-on experience applying AI to real-world challenges while contributing to strategic goals. Responsibilities include collaborating with units, analyzing workflows, developing ML models, and creating dashboards to communicate insights to non-technical