Tayari.live
Education • B2C • eCommerce
Tayari. live is an online language learning platform designed to teach children their native languages. Based in Kenya, the company offers interactive, on-demand language lessons with the option for live coaching sessions. Lessons are available in languages such as Swahili, with more to come, and are delivered through a convenient mobile app. Tayari. live uses methods proven to reduce anxiety and build confidence in language learning for children, allowing them to speak and interact with native speakers in a fun and engaging way. The platform caters to various commitment levels with monthly, 6-month, or 12-month courses, emphasizing a blend of teaching videos, live classes, and supporting handouts to guide parents and kids in learning together.
2 - 10 employees
đź“š Education
đź‘Ą B2C
🛍️ eCommerce
AI/ML Intern
Job not on LinkedIn
November 12
Tayari.live
Education • B2C • eCommerce
Tayari. live is an online language learning platform designed to teach children their native languages. Based in Kenya, the company offers interactive, on-demand language lessons with the option for live coaching sessions. Lessons are available in languages such as Swahili, with more to come, and are delivered through a convenient mobile app. Tayari. live uses methods proven to reduce anxiety and build confidence in language learning for children, allowing them to speak and interact with native speakers in a fun and engaging way. The platform caters to various commitment levels with monthly, 6-month, or 12-month courses, emphasizing a blend of teaching videos, live classes, and supporting handouts to guide parents and kids in learning together.
2 - 10 employees
đź“š Education
đź‘Ą B2C
🛍️ eCommerce
đź“‹ Description
• 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
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