Senior AI Engineer

				Overview:

Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries.

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
* Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments.

Qualifications:

* Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. 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. Azure, AWS, GCP) and different AI tools (e.g. LLMs, Agentic AI etc.);
			

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Medpace, Inc.

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