AIML Rapid Development Studio Intern (Remote) at Fortrea in Remote

Summary: Fortrea is a company focused on innovation through early talent, offering a 12-week remote internship in AIML Rapid Development Studio. As an intern, you will gain hands-on experience in AI and machine learning projects, collaborating with experts to contribute to medical knowledge advancement. Responsibilities: - Assist in gathering, cleaning, and organizing datasets required for machine learning projects. This includes data preprocessing, feature extraction, and ensuring data quality - Participate in the design and development of machine learning models. This includes experimenting with different algorithms, tuning hyperparameters, and optimizing models for performance and accuracy - Collaborate with team members to create prototypes of AI/ML solutions. Test and validate models through rigorous experimentation, and document findings to guide further development - Conduct research on the latest AI/ML trends, tools, and methodologies. Summarize key findings and propose how they can be applied to ongoing projects within the studio - Explore and evaluate new AI/ML tools, frameworks, and technologies. Provide recommendations on their potential integration into the studio's workflow - Work closely with cross-functional teams, including data scientists, software engineers, and product designers, to support the successful implementation of AI/ML initiatives - Maintain detailed documentation of all project-related activities, including data pipelines, model configurations, and experimental results. Present findings and progress to the team in regular updates - Engage in ongoing learning opportunities to expand knowledge in AI/ML. Attend workshops, webinars, and team discussions to stay updated on the latest industry advancements Required Qualifications: - Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Graduate level) - Strong foundational knowledge in 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 (e.g., TensorFlow, PyTorch, scikit-learn) - Basic understanding of data preprocessing and feature engineering techniques - Exposure to cloud computing platforms (e.g., AWS, Google Cloud, Azure) and tools for AI/ML deployment - Strong analytical and problem-solving skills, with a keen interest in AI/ML research and development - Ability to work collaboratively in a team environment, with good communication skills - Eagerness to learn and adapt to new technologies in a fast-paced, innovative environment Preferred Qualifications: - Previous project or internship experience in AI/ML is a plus but not required Required Skills: Machine learning algorithms, Data structures, Python, R, Java, TensorFlow, PyTorch, scikit-learn, Data preprocessing, Feature engineering, Cloud computing platforms, AI/ML deployment, Analytical skills