Cincinnati, Ohio30+ days ago
Responsibilities : Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement AI tools such as NLP, LLM, and Agentic AI; Supervise and support the AI infrastructure needs, working with the development teams to identify and provide the best AI capabilities possible that can be embedded into front-end applications; Supervise the collection, preprocessing, and curation of 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. Master’s degree preferred; 5 + years of experience implementing and fine-tuning Large Language Models or interactive AI applications; Expert proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Worked with different cloud platforms (e.g.