AI & Data Science Intern: Generative AI, Python & GCP

GAF; Parsippany-Troy Hills (NJ); Vor Ort; USD 27.552.000 - 41.328.000; Vollzeit

Benefits dieser Stelle

Paid internship (hourly)

Zusammenfassung

GAF in Parsippany, NJ is offering a Data Science (AI) Intern position designed for students in Computer Science, Data Science, or related fields. You will contribute to developing, testing, and deploying machine learning models and AI solutions using Python, GCP, and common ML frameworks, gaining practical experience on real-world AI initiatives.

This paid internship requires a GPA of 3.0, a quantitative degree, and the ability to work about 40 hours per week during the summer.

Qualifikationen

• Pursuit of a Bachelor's or Master's Degree in a quantitative field with minimum 3.0 GPA.
• Sophomore standing preferred.
• Applied AI literacy including Generative AI, LLMs, RAG, and agentic workflows.
• Prompt engineering and prototyping experience.
• Strong cross-functional communication and documentation skills.
• AI Build: develop and prototype AI/ML solutions using Python and ML libraries.

Aufgaben

• Collaborate with stakeholders to understand daily workflows, pain points, and objectives.
• Evaluate operations for Generative AI applicability, balancing gains with feasibility and risk.
• Translate business logic into technical requirements, user stories and AI models.
• Define success metrics, monitor adoption, and ensure AI solutions deliver value.

Kenntnisse

Business Analysis

Process Mapping

Cross-Functional Communication

Requirements Gathering

Documentation

Python

Ausbildung

Bachelor's or Master's degree in a quantitative field

Tools

Python

scikit-learn

TensorFlow

PyTorch

Google Cloud Platform (GCP)

Git

MLOps

Jobbeschreibung

GAF in Parsippany, NJ is offering a Data Science (AI) Intern position designed for students in Computer Science, Data Science, or related fields. You will contribute to developing, testing, and deploying machine learning models and AI solutions using Python, GCP, and common ML frameworks, gaining practical experience on real-world AI initiatives.

This paid internship requires a GPA of 3.0, a quantitative degree, and the ability to work about 40 hours per week during the summer.