2,284 Data Science Intern jobs in Kenya

• Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
• Design, develop, and implement novel AI algorithms and models.
• Stay current with the latest advancements and publications in AI research.
• Collaborate with engineers to deploy AI models into production systems.
• Analyze large datasets to extract insights and inform model development.
• Conduct rigorous experimentation and validation of AI solutions.
• Publish research findings in leading AI conferences and journals.
• Mentor junior researchers and contribute to team knowledge sharing.
• Contribute to patent applications and intellectual property development.
• Present research findings to technical and non-technical stakeholders.
• Identify and explore new research opportunities and potential applications of AI.
• Drive innovation and contribute to the strategic direction of AI research.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of research experience in AI, ML, or DL, with a strong publication record.
• Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
• Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing and distributed computing frameworks.
• Proven ability to design and conduct complex experiments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and collaboratively in a remote team environment.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Company Description
At
Timu AI
, we believe every business deserves a smarter teammate.

We're building
AI-powered infrastructures
that save time, cut costs, and help companies focus on what matters — their clients and their growth.

Role Description
This is a full-time role for a Machine Learning Engineer and AI specialist at The role is Remote. The Machine Learning Engineer will be responsible for developing and implementing machine learning models and algorithms, As an
AI Automation Engineer
, you'll design, build, and scale automation workflows that connect business tools, integrate AI intelligence, and create seamless digital teammates for our clients.

You'll collaborate directly with the founder and help shape the future of automation infrastructure in Africa

Key Responsibilities

• Build and optimize
  n8n workflows
  for real-world business use cases (starting with the Legal Industry).
• Connect APIs (Google Calendar, WhatsApp Business API, CRMs, Gmail, etc.).
• Integrate
  AI features
  using OpenAI API or LangChain (for scheduling, smart responses, or data analysis).
• Manage workflow hosting and deployment (self-hosted or cloud environments).
• Implement authentication, error handling, and logging within workflows.
• Collaborate in developing a repeatable
  automation framework
  for future industries.
• Write documentation for all automations built.

Qualifications

• Hands-on experience with
  n8n
  ,
  Make (Integromat)
  , or
  Zapier
  .
• Strong understanding of
  APIs
  ,
  webhooks
  , and
  JSON
  .
• Proficient in
  JavaScript/TypeScript
  or
  Python
  .
• Experience with
  databases
  (Airtable, PostgreSQL, or MongoDB).
• Familiarity with
  AI tools/APIs
  (OpenAI, HuggingFace, LangChain).
• Understanding of basic
  data security and authentication
  practices.
• Strong problem-solving mindset and willingness to learn fast.

What You'll Gain

• Equity in Timu AI — you'll own part of what we build.
• A real seat at the table as one of the founding engineers.
• A chance to shape how AI automation is implemented across multiple industries.

If you've ever wanted to be
part of something from day one
— this is it.

We're not hiring an employee.

We're bringing in a
partner
who believes in Africa's potential to build world-class AI systems.

How to Apply
Send your portfolio or project samples (GitHub, Notion, or screenshots) + a short note explaining:

"How would you automate appointment scheduling for a firm?"
Email :

Subject Line:
AI Automation Engineer – (Your Name)

• Assist senior researchers in designing, implementing, and testing machine learning models for various applications.
• Conduct literature reviews on cutting-edge AI research topics and summarize findings.
• Develop and preprocess datasets for training and evaluating machine learning algorithms.
• Write clean, efficient, and well-documented code in Python, utilizing libraries such as TensorFlow, PyTorch, and scikit-learn.
• Participate in team meetings and brainstorming sessions to propose new research directions and solutions.
• Contribute to the development of research papers, presentations, and technical reports.
• Help in the deployment and testing of AI models in simulated or real-world environments.
• Collaborate with other interns and researchers on assigned projects.
• Maintain detailed records of experiments, results, and methodologies.
• Gain exposure to various domains of AI, including but not limited to, natural language processing, computer vision, and reinforcement learning.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a closely related quantitative field.
• Strong foundational knowledge of machine learning algorithms, data structures, and software development principles.
• Proficiency in Python programming and experience with relevant AI/ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
• Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Basic understanding of mathematical concepts such as linear algebra, calculus, and probability.
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to clearly articulate technical concepts.
• Must be self-motivated, detail-oriented, and capable of working independently in a remote setting.
• A genuine passion for artificial intelligence and a desire to learn and contribute to research.
• Previous research experience or personal AI projects are a plus.

• Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
• Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
• Design and execute rigorous experiments to validate research hypotheses.
• Collaborate with cross-functional teams to integrate research prototypes into product development.
• Publish research findings in leading academic journals and present at international conferences.
• Mentor junior researchers and engineers, fostering a collaborative research environment.
• Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
• Contribute to the intellectual property portfolio through patent applications.
• Lead research initiatives and define research roadmaps in specific areas of computer vision.
• Explore new application domains for computer vision technologies.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
• A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in programming languages like Python and experience with scientific computing libraries.
• Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
• Experience with large-scale datasets and distributed training.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to lead research projects and work effectively in a remote, collaborative setting.
• Strong communication and presentation skills.

• Conduct cutting-edge research in machine learning and artificial intelligence
• Develop, implement, and optimize novel ML algorithms and deep learning models
• Analyze large and complex datasets to extract meaningful insights and drive model performance
• Design and execute experiments to validate research hypotheses
• Collaborate with cross-functional teams to integrate AI solutions into products and services
• Publish research findings in top-tier conferences and journals
• Develop and maintain robust, scalable, and efficient AI systems
• Stay abreast of the latest advancements in AI/ML research and industry trends
• Contribute to intellectual property development, including patents and white papers
• Mentor junior researchers and interns

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
• Minimum of 5 years of research experience in machine learning or AI
• Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
• Proficiency in programming languages such as Python, Java, or C++
• Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
• Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
• Proven track record of publications in leading AI conferences and journals
• Excellent analytical, problem-solving, and critical thinking skills
• Strong communication and presentation skills, with the ability to explain complex concepts clearly
• Ability to work both independently and collaboratively in a team-oriented environment

• Lead the design and implementation of advanced AI/ML models and algorithms.
• Conduct cutting-edge research in areas such as deep learning, NLP, computer vision, etc.
• Develop novel research methodologies and experimental designs.
• Analyze and interpret large datasets to extract meaningful insights.
• Evaluate and optimize model performance using rigorous scientific methods.
• Mentor and guide junior research scientists and engineers.
• Collaborate with cross-functional teams to integrate research findings into products.
• Stay current with the latest advancements in AI/ML and related fields.
• Contribute to publications, patents, and conference presentations.
• Manage research project timelines and deliverables in a remote environment.

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
• 5+ years of research experience in AI/ML, with a strong publication record.
• Proven expertise in one or more AI/ML subfields (e.g., deep learning, NLP, CV).
• Proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch).
• Experience with large-scale data analysis and cloud computing platforms.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong leadership and mentoring capabilities.
• Exceptional written and verbal communication skills, particularly for technical concepts.
• Ability to work independently and drive research initiatives in a remote setting.