Tayari.live

AI/ML Intern

Tayari.live

internship

Posted on:

Location Type: Remote

Location: Remote • 🇰🇪 Kenya

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Job Level

Entry Level

Tech Stack

NumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Assist in the design, development, and evaluation of machine learning and AI models.
  • Perform data collection, cleaning, labeling, and preprocessing for model training.
  • Implement and test ML algorithms for classification, regression, clustering, and NLP or computer vision tasks (depending on project scope).
  • Support the deployment and monitoring of models in production environments.
  • Conduct literature reviews and stay up to date on the latest AI/ML research trends.
  • Work collaboratively with data scientists, software engineers, and project leads to integrate models into applications.
  • Prepare technical documentation, reports, and visualizations to communicate findings.

Requirements

  • Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
  • Strong programming skills in Python and familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
  • Understanding of machine learning fundamentals, such as supervised/unsupervised learning, model evaluation, and feature engineering.
  • Basic knowledge of data preprocessing, visualization (Matplotlib, Seaborn, etc.), and version control (Git).
  • Excellent analytical, problem-solving, and communication skills.
Benefits
  • None specified 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningAI modelsdata collectiondata cleaningdata labelingdata preprocessingML algorithmsclassificationregressionclustering
Soft skills
analytical skillsproblem-solvingcommunication skills