Position Details
About this role
This internship involves developing NLP and generative AI models, working with unstructured data, and applying advanced machine learning techniques in a research environment.
Key Responsibilities
- Develop NLP models
- Improve generative AI systems
- Collaborate with data scientists
- Explore new ML approaches
- Contribute to research publications
Technical Overview
The technical scope includes Python programming, ML frameworks like PyTorch and TensorFlow, NLP libraries such as SpaCy and GATE, and cloud computing with AWS. The focus is on cutting-edge NLP and AI research for pharmaceutical applications.
Ideal Candidate
The ideal candidate is a Ph.D. student specializing in NLP and machine learning, with strong Python programming skills and experience with frameworks like PyTorch or TensorFlow. They should have familiarity with Large Language Models and be eager to contribute to cutting-edge AI research during their internship.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not a current Ph.D. student, Lack of proficiency in Python, No experience with ML frameworks (PyTorch, TensorFlow), No familiarity with NLP libraries, Unwilling to commit to full-time summer internship
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