About the role
We are looking for a motivated AI Intern to join our development team. This internship provides an excellent opportunity for university students to gain practical experience working with AI technologies, especially those developed by NVIDIA for healthcare applications. The internship will focus on disease detection, drug package identification, and AI-driven solutions using NVIDIA Clara, NVIDIA Clara Imaging, NVIDIA Clara Genomics, NVIDIA AI for Drug Discovery, and more.
Key Responsibilities:
Assist in the development and integration of AI models using NVIDIA Clara, NVIDIA Clara Imaging, NVIDIA Clara Genomics, and other NVIDIA tools.
Collaborate with the development team to implement AI solutions for disease detection, drug identification, and medical image analysis.
Conduct testing, debugging, and model validation to ensure high-quality AI applications.
Contribute to the integration of NVIDIA AI for Drug Discovery, NVIDIA Parabricks, and NVIDIA BioNeMo into healthcare applications.
Assist with data processing and management using NVIDIA RAPIDS and NVIDIA Metropolis for scalable AI solutions.
Work with the team on Federated Learning and data privacy aspects in AI solutions for healthcare.
Help develop and maintain Python-based code for AI workflows in healthcare, including integrating NVIDIA DGX Systems and NVIDIA Health AI Ecosystem.
Support the creation and documentation of AI-driven development processes, ensuring continuous improvement.
Qualifications:
Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Familiarity with NVIDIA technologies such as Clara, Clara Imaging, Clara Genomics, NVIDIA AI for Drug Discovery, NVIDIA Parabricks, and others.
Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, NumPy).
Understanding of AI/ML frameworks and model development for healthcare solutions.
Familiarity with medical image analysis, disease detection, and drug identification models is a plus.
Strong analytical, problem-solving, and debugging skills.
Ability to work effectively in a team and contribute to collaborative AI projects.
Enthusiasm for learning, particularly in the intersection of AI, healthcare, and technology.
