Data scientists and machine learning engineers build, train and evaluate models, then document their methods for AI training tasks. It suits people with a Master's, one to three years of professional work and a first-author publication.
Sobre la vacante
This is a remote, project-based role for data scientists and machine learning professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data science, machine learning engineering, AI research, or analytics roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers highly competitive pay, exposure to real-world ML/data problems, and an excellent opportunity to boost your resume.
Responsibilities:
- Assist in building, training, and evaluating machine learning models for various business applications
- Develop predictive models using supervised and unsupervised learning techniques
- Optimize model performance through hyperparameter tuning and feature engineering
- Document methodologies, model assumptions, and technical approaches
Required qualifications:
- 1–3 years of professional experience in data science, machine learning, or related fields
- Strong problem-solving skills and ability to work independently on technical tasks
- Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field
- At least 1 first author publication or first-author equivalent work
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