AI Engineer

Do you have a passion for Artificial Intelligence (AI) and are looking to make a difference in how the latest clinical trials progress into the market?

Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems?

If so, we have an exciting opportunity for you at Medpace.

We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications.

This professional will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users.

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.

Qualifications

• Bachelor’s degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master’s degree preferred;
• Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience);
• Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
• Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI;
• Excellent communication skills to collaborate effectively with cross-functional teams;
• A passion for staying up-to-date with the latest advancements in NLP and AI technologies; and
• Analytical thinker with great attention to detail.

Medpace Overview

Medpace is a full-service clinical contract research organization (CRO) providing phase l-lV 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 the advancement of clinical research. We leverage in-country regulatory and therapeutic expertise across all major therapeutic areas including oncology, cardiology, metabolic, endocrinology, central nervous system, and anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries.

Why Medpace?

When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.

Purpose-Driven Work

• • Work alongside physicians, scientists, and industry-leading experts committed to advancing the global development of medical therapeutics through clinical research excellence

Collaborative Culture

• • Contribute to an interactive team environment that empowers decision making, creative thinking, and continuous learning through open communication and mutual trust.
  • Leadership throughout Medpace is both accessible and approachable

Continuous Growth & Development

• • Office based environment with on-site mentors
  • Defined career paths with clear advancement opportunities
  • Industry renowned onboarding and training programs designed to accelerate professional development
  • Ongoing training and continuous learning opportunities throughout your career
  • An environment that encourages employees to influence change, contribute ideas, and grow quickly

Other Employee Benefits

• • Competitive compensation programs that recognize and reward performance
  • Comprehensive health, wellness, retirement, and PTO benefits
  • Office based culture with occasional WFH that provides flexibility for eligible positions after training
  • Company-sponsored social events and intramural sports

Cincinnati Headquarters Experience

• • A modern corporate campus designed to support collaboration and productivity
  • Multiple on-site dining options in the heart of Madison Square
  • Free on-site parking
  • Convenient access to on-site 24-7 fitness and wellness facilities

What to Expect Next

A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.

• Bachelor’s degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master’s degree preferred;
• Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience);
• Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
• Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI;
• Excellent communication skills to collaborate effectively with cross-functional teams;
• A passion for staying up-to-date with the latest advancements in NLP and AI technologies; and
• Analytical thinker with great attention to detail.
• 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.