1,804 Machine Learning Frameworks jobs in Kenya

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)

• Designing end-to-end AI and machine learning solutions to address complex business challenges.
• Architecting scalable and robust ML pipelines for data processing, model training, and deployment.
• Leading the development and implementation of predictive models, NLP systems, and computer vision applications.
• Evaluating and selecting appropriate AI technologies, frameworks, and cloud services.
• Collaborating with data scientists and engineers to ensure efficient and effective solution delivery.
• Providing technical leadership and guidance to AI/ML teams.
• Communicating complex technical concepts to non-technical stakeholders.
• Staying current with the latest research and advancements in AI and machine learning.

• Minimum of 8 years of experience in AI, machine learning, or data science, with 3+ years in an architect or lead role.
• M.Sc. or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field; M.Sc. required.
• Extensive experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Expertise in Python or R, and deep learning frameworks (TensorFlow, PyTorch).
• Proven ability to design and deploy production-level AI solutions.
• Strong understanding of various machine learning algorithms and data science methodologies.
• Excellent leadership, communication, and problem-solving skills.
• Ability to thrive in a dynamic, remote work environment.

• 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.

• Design, develop, and implement state-of-the-art machine learning models and algorithms.
• Lead the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Architect scalable and robust ML systems for production environments.
• Conduct research on new ML techniques and technologies to identify opportunities for innovation.
• Mentor and guide junior ML engineers, fostering technical growth and best practices.
• Collaborate with data scientists, software engineers, and product managers to define ML requirements and deliverables.
• Optimize ML models for performance, accuracy, and efficiency.
• Develop and implement strategies for monitoring and maintaining ML models in production.
• Stay abreast of the latest advancements in AI and machine learning research and industry trends.
• Communicate complex technical concepts and project updates to both technical and non-technical stakeholders.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8-10 years of experience in machine learning engineering or related roles, with a strong track record of delivering impactful ML solutions.
• Extensive experience with various ML algorithms (e.g., deep learning, reinforcement learning, supervised/unsupervised learning).
• Proficiency in programming languages such as Python, Java, or C++.
• Strong experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Excellent understanding of data structures, algorithms, and software design principles.
• Strong analytical and problem-solving skills.
• Proven ability to lead technical projects and mentor team members.
• Exceptional communication and collaboration skills, with the ability to thrive in a remote setting.

• Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
• Develop and implement novel AI algorithms and models.
• Design and execute experiments to evaluate the performance of AI systems.
• Analyze large datasets and interpret experimental results.
• Stay abreast of the latest advancements in AI research and industry trends.
• Publish research findings in leading academic conferences and journals.
• Collaborate with a global team of researchers and engineers.
• Contribute to the development of AI-powered products and solutions.
• Develop and maintain high-quality research code.
• Mentor junior researchers and interns.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Proven track record of research excellence, demonstrated through publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
• Strong theoretical foundation in machine learning, deep learning, statistics, and relevant mathematical concepts.
• Proficiency in programming languages such as Python.
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in one or more specialized AI areas such as NLP, computer vision, reinforcement learning, etc.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills for effective remote collaboration.
• Ability to conduct independent research and manage projects effectively.

• 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.

• Lead research initiatives in deep learning, computer vision, and related AI fields.
• Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
• Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
• Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
• Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
• Collaborate with engineering teams to integrate AI models into production systems.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and contribute to a collaborative research environment.
• Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of linear algebra, calculus, probability, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
• Demonstrated ability to work independently and as part of a remote team.

• Assist in collecting, cleaning, and transforming large datasets.
• Perform feature engineering and data preprocessing for machine learning models.
• Implement and test various machine learning algorithms.
• Support the evaluation and validation of model performance.
• Collaborate with senior data scientists on ongoing research projects.
• Document code, methodologies, and findings.
• Assist in preparing data visualizations and reports.
• Contribute to team discussions and brainstorming sessions.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Solid understanding of statistical concepts and machine learning principles.
• Proficiency in Python or R programming.
• Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation libraries (e.g., Pandas) and SQL.
• Strong analytical and problem-solving skills.
• Eagerness to learn and adapt in a research-focused environment.
• Good communication and teamwork abilities.