Machine Learning Internships in Kenya
Gain hands-on experience in developing machine learning models, data analysis, and AI solutions through practical internships in Kenya's growing tech industry.
Available Specializations
Supervised Learning
Develop models that learn from labeled training data to make predictions
Key Skills:
Unsupervised Learning
Build models that find patterns in data without labeled examples
Key Skills:
Deep Learning
Create neural networks and deep learning models for complex problems
Key Skills:
Reinforcement Learning
Develop AI agents that learn through interaction and feedback
Key Skills:
ML Operations (MLOps)
Deploy, monitor, and maintain machine learning models in production
Key Skills:
What You'll Do
Build ML Models
Develop and train machine learning models for real-world applications and business problems.
Analyze Data
Work with large datasets to extract insights and identify patterns for business decisions.
Deploy Models
Learn to deploy machine learning models to production environments and monitor their performance.
Collaborate with Teams
Work alongside data scientists, engineers, and product managers in cross-functional teams.
Learn New Technologies
Stay current with the latest ML frameworks, tools, and methodologies in the field.
Solve Complex Problems
Apply machine learning techniques to solve challenging business and technical problems.
Skills You'll Gain
Who Should Apply
Year of Study
3rd and 4th year students in Computer Science, Mathematics, Statistics, or related fields.
Prerequisites
Strong programming skills in Python or R, and completion of statistics and linear algebra courses.
Ideal Candidates
Students with strong analytical thinking, mathematical background, and passion for data-driven solutions.
Academic Requirements
Minimum GPA of 3.2 and completion of machine learning, statistics, and programming courses.
Program Details
Duration
3-12 months (flexible based on company needs and student availability)
Mode
Hybrid (mix of on-site and remote work)
Typical Host Companies
Tech startups, fintech companies, e-commerce platforms, data analytics firms, and AI companies
Schedule
Full-time during breaks, part-time during semester (20-40 hours/week)
Related Career Pathways
Frequently Asked Questions
What programming languages should I know for ML internships?
Python is essential, with libraries like pandas, scikit-learn, TensorFlow, and PyTorch. R is also valuable. Knowledge of SQL for data manipulation is important.
Do I need prior ML experience for these internships?
While prior experience is helpful, we look for strong fundamentals in mathematics, statistics, and programming. Personal projects or coursework in ML are great ways to demonstrate interest.
What kind of projects will I work on?
Projects vary by company but typically include building predictive models, analyzing datasets, implementing ML pipelines, and deploying models to production environments.
Will I get mentorship from experienced data scientists?
Yes! You'll work closely with senior data scientists and ML engineers who will provide guidance on best practices, model development, and career development.
Are there opportunities for full-time employment after the internship?
Many companies use ML internships as a pipeline for full-time hiring. Strong performance and cultural fit are key factors in conversion to permanent roles.
Ready to Start Your Machine Learning Internship?
Download the Tayari app and discover Machine Learning internship opportunities in Kenya.