Computer vision, image processing, or machine learning
This internship is about understanding model performance drift in deployed AI systems for mosquito and tick identification, focusing on real-world MLOps challenges
Job Summary
This internship is about understanding model performance drift in deployed AI systems for mosquito and tick identification, focusing on real-world MLOps challenges.
You will collaborate with the computer vision team to develop analysis methods tracking how geographic and genetic diversity affect model performance and identify early warning signs for retraining.
The role involves making SQL queries, preparing datasets, training computer vision models, and contributing to the development of improved modules in Vectech's computer vision suite.
Matching Summary
This internship is about understanding model performance drift in deployed AI systems for mosquito and tick identification, focusing on real-world MLOps challenges.
Salary
$25/hour; $500 home office stipend; Not specified
Skills & Requirements
Must-have
Python
TensorFlow or PyTorch
Computer vision, image processing, or machine learning
Linux systems
Analyze data from computer vision systems
Train computer vision models
Nice-to-have
MLOps concepts
SQL and data visualization tools
Contributing to shared codebases (Git)
Genuine curiosity about public health
Readiness to learn fast and adapt
Key Requirements
Cumulative GPA of 2.5 or above
Current graduate student at Maryland institution
Current undergraduate senior at Maryland institution