AI Engineering Intern - Fall

Responsibilities

• Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes;
• Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems;
• Research, develop, and implement AI tools such as NLP, LLM, and IA;
• Collect, preprocess, and curate large datasets required for training generative models;
• Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning;
• Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and
• Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments.

• Pursuing a Master’s or PhD in Artificial Intelligence, Computer or Data Science, or related field.
• Available to work 40 hours per week in our Cincinnati, OH office. Preference for those currently in or from Cincinnati;
• 5 GPA or higher;
• Class or internship experience implementing and fine-tuning Large Language Models or interactive AI applications;
• Proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, Tensor Flow, PyTorch);
• Experience working with different AI capabilities and ability to showcase your passion for the utilization of AI;