Machine Learning Intern
We are looking for a Machine Learning Intern with strong analytical skills to work on end-to-end ML solutions. You will tackle real business challenges while implementing practical machine learning solutions from conception to deployment.
Responsibilities
- Analyze business problems and conceive ML solutions.
- Develop end-to-end ML implementations.
- Work with data extraction and preparation.
- Deploy models in production environments.
- Deploy models in production environments.
Requirements
- Strong foundation in statistics and classical ML techniques.
- Experience with Python and R for data analysis.
- Understanding of fundamental ML algorithms (boosted trees, linear regression, etc.).
- Interest in MLOps and deployment practices.
- Tidymodels experience is a plus
How to Apply
- Choose a project you have contributed to (could be open source, academic, or personal).
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Write one page about the project, focusing on:
- Project overview
- Your specific contributions
- Technical challenges faced and overcome
- Impact of your work
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Email [email protected] with:
- Subject line: “Machine Learning Internship Application”
- Your one-page write-up
- Link to relevant code repository or pull request