Assist in building and training machine learning and deep learning models.
Prepare, clean, and analyze structured and unstructured data for training purposes.
Support experiments with different model architectures and hyperparameter tuning.
Evaluate model performance using relevant metrics and help improve model accuracy.
Work closely with data engineers and senior AI developers to integrate models into production.
Research new AI tools, libraries, and techniques to stay updated with the latest trends.
Strong interest in AI/ML and a basic understanding of supervised and unsupervised learning.
Experience with Python and common AI libraries (e.g., scikit-learn, NumPy, pandas, TensorFlow or PyTorch).
Ability to work with datasets: preprocessing, visualization, and basic analysis.
Good problem-solving skills and a strong willingness to learn.
Ability to read and understand academic papers or technical documentation.
Familiarity with Git or version control tools.
5-day workweek (Monday to Friday)
Support for English courses and certifications
Training and mentorship in AI/ML
Opportunity to work on real-world projects and build a professional portfolio
Young, collaborative, and learning-driven team environment
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