AI Engineering Intern
Core
Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes in clinical trial data.
Role type
AI Engineering Intern
Builds
Production ML models, LLM solutions for information extraction and workflow automation, and data integration pipelines.
Domain
Clinical research / Biotechnology / Artificial Intelligence
Deliverable
production ML models
Required skills
Machine learning algorithms, Large Language Models (LLM), Natural Language Processing (NLP), data preprocessing, feature engineering, model selection, hyperparameter tuning, Python, TensorFlow, PyTorch
Preferred skills
Experience with generative models, interactive AI applications, classification, regression, clustering, anomaly detection, recommendation systems
Technologies
Python, TensorFlow, PyTorch, Snowflake, SharePoint
Responsibilities
Design and optimize machine learning pipelines; Develop and optimize LLM solutions for specific tasks; Collect, preprocess, and curate large datasets; Develop scalable ML infrastructure for training and deployment.
Seniority
Intern