What you will do
- Assist in implementing machine learning models and experiments.
- Work with datasets: preprocessing, cleaning, and formatting.
- Run experiments, record results, and document findings.
- Read and summarize research papers or articles.
- Reproduce methods from existing work and support prototypes and internal tools.
What you bring
- Basic understanding of machine learning concepts and training workflows.
- Basic Python skills.
- Familiarity with at least one ML library (PyTorch or TensorFlow).
- Ability to follow technical instructions and learn independently.
- Interest in AI and willingness to experiment.
- Familiarity with Git and VS Code.
- Familiarity with AI agents.
- Basic knowledge of math statistics methods.
- Ability to read, understand, and implement research papers.
- Bonus: personal, academic, or course projects in AI/ML and exposure to NLP, computer vision, NumPy, or Pandas.
AI fluency
Use AI tools for literature review and prototyping, but keep experiments rigorous and reproducible.
Apply for the vacancy
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