AIML Rapid Development Studio Internship

Fortrea•Durham, CA

20h•Remote

About The Position

Fortrea is offering a 12-week, paid, remote AIML Rapid Development Studio (RDS) internship within its Global Project Delivery Department. The intern will work with the AIML RDS team on client engagement projects and help develop and implement AI and machine-learning solutions for real-world challenges. The internship covers the innovation process from research and ideation through prototyping and deployment, with opportunities for hands-on learning, mentorship, professional development workshops, and career exploration.

Requirements

Currently pursuing a graduate-level degree in Computer Science, Data Science, Artificial Intelligence, or a related field; relevant and equivalent experience may be considered in lieu of educational requirements.
Strong foundational knowledge of machine-learning algorithms and data structures.
Experience with programming languages commonly used in AI/ML, such as Python, R, or Java.
Familiarity with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Basic understanding of data preprocessing and feature-engineering techniques.
Exposure to cloud computing platforms such as AWS, Google Cloud, or Azure, and tools for AI/ML deployment.
Strong analytical and problem-solving skills, with an interest in AI/ML research and development.
Ability to collaborate in a team environment and communicate effectively.
Willingness to learn and adapt to new technologies in a fast-paced, innovative environment.

Nice To Haves

Previous AI/ML project or internship experience; not required.

Responsibilities

Gather, clean, and organize datasets for machine-learning projects, including preprocessing, feature extraction, and data-quality checks.
Participate in designing and developing machine-learning models, experimenting with algorithms, tuning hyperparameters, and optimizing model performance and accuracy.
Collaborate with team members to prototype AI/ML solutions; test and validate models, conduct experiments, and document findings.
Research current AI/ML trends, tools, and methodologies; summarize findings and suggest applications to studio projects.
Explore and evaluate AI/ML tools, frameworks, and technologies, and recommend potential integrations into the studio workflow.
Work with cross-functional teams, including data scientists, software engineers, and product designers, to support AI/ML initiatives.
Maintain documentation of project activities, including data pipelines, model configurations, and experimental results; present findings and progress in regular updates.
Participate in ongoing learning, including workshops, webinars, and team discussions, to stay informed about industry developments.