Remote AIML Prototyping Studio Intern

FTINC Fortrea Inc.; North Carolina; Remote; USD 25,000 - 33,000; Full time

Job summary

Fortrea’s 2027 University Internship Program offers a remote, paid 12-week AIML Rapid Development Studio internship inside the Global Project Delivery Department. As an intern, you’ll collaborate with AI/ML experts on real client engagements and contribute to advancing medical knowledge.

You will collect data, develop models, prototype solutions, and gain hands-on experience with AI/ML in a fast-paced, innovative environment, supported by mentorship and structured development.

Qualifications

• Must be currently studying a related degree.
• Strong ML algorithm knowledge and data structures.
• Experience with Python, R, or Java.
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Exposure to cloud platforms (AWS, GCP, Azure).
• Strong analytical and problem‑solving skills; teamwork.

Responsibilities

• Data Collection and Preparation: gather, clean and organize datasets for ML projects.
• Model Development: design and develop ML models and tune hyperparameters.
• Prototyping and Experimentation: create prototypes and validate models.
• Research and Literature Review: summarize AI/ML trends and methods.
• Tool and Framework Exploration: evaluate new AI/ML tools and frameworks.
• Collaboration and Support: work with data scientists, engineers, and designers.
• Documentation and Reporting: maintain project documentation and report progress.
• Continuous Learning and Development: participate in workshops and discussions.

Skills

Machine learning fundamentals

Python basics

Data preprocessing

Analytical thinking

Education

Pursuing a degree in Computer Science, Data Science, AI, or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS / GCP / Azure

Job description

Fortrea’s 2027 University Internship Program offers a remote, paid 12-week AIML Rapid Development Studio internship inside the Global Project Delivery Department. As an intern, you’ll collaborate with AI/ML experts on real client engagements and contribute to advancing medical knowledge.

You will collect data, develop models, prototype solutions, and gain hands-on experience with AI/ML in a fast-paced, innovative environment, supported by mentorship and structured development.