2,262 AI & Emerging Technologies jobs in Kenya

Position:
AI/ML Research Scientist

Employer:
tma

Location:
Offices in Sandton, Durban, Cape Town, or Kenya

Work Type:
100% Work-from-the-Office

Shift:
1 AM – 4 PM

About the Role

We are seeking a passionate and driven
AI/ML Research Scientist
to join our R&D team at a fast-growing, innovation-first deep-tech company. This role is ideal for individuals who thrive in research-driven environments, have a solid foundation in machine learning and artificial intelligence, and are eager to push the boundaries of what's possible with intelligent systems.

As an AI/ML Research Scientist, you'll work on ambitious challenges in machine learning, publish your findings in top-tier venues, and collaborate with a global network of leading academic and industry researchers. Your work will directly shape the future of advanced intelligent technologies across a wide range of real-world applications.

Key Responsibilities

• Conduct original, high-impact research in AI/ML
• Design and develop novel algorithms, models, and methodologies
• Publish in top-tier conferences/journals (NeurIPS, ICML, CVPR, AAAI, etc.)
• Collaborate with engineering & product teams to prototype research ideas
• Engage with the global research community
• Mentor junior researchers, data scientists, and engineers
• Present findings at conferences, symposiums, and workshops
• Stay current with emerging AI/ML trends

Required Qualifications

• 3+ years' hands-on research experience (industry, academic, or postdoctoral)
• Track record of publications in leading AI/ML venues
• Proficiency in
  Python, C++, Julia
  or similar, plus
  PyTorch, TensorFlow, JAX
• Deep theoretical understanding of ML, statistics, and optimisation
• Strong analytical, creative, and problem-solving skills

Preferred Qualifications

• PhD in Computer Science, AI/ML, Applied Mathematics, or related field
• Postdoctoral or advanced academic research experience
• Experience leading or mentoring research teams
• Industry research lab or AI-focused start-up background
• Deep expertise in:
• • Reinforcement Learning
• • Generative Models (GANs, VAEs, Diffusion)
• • Large Language Models & Transformers
• • Computer Vision
• • Probabilistic Modelling & Bayesian Inference
• • Causal Inference & Decision Systems

What We Offer

• Access to cutting-edge compute infrastructure
• Flexibility to explore high-impact research directions
• Opportunities to publish, present, and attend top AI/ML conferences
• A diverse, mission-driven team working on transformative tech

• Conduct advanced research in artificial intelligence and machine learning.
• Develop and implement novel AI algorithms and models.
• Design and execute experiments to validate research hypotheses.
• Publish findings in leading AI conferences and journals.
• Collaborate with engineering teams to integrate research into products.
• Mentor junior research scientists and interns.
• Contribute to the strategic roadmap of AI research initiatives.
• Stay current with the latest advancements in AI and related fields.
• Analyze and interpret complex datasets to inform research direction.
• Present research findings to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of post-doctoral research experience in AI.
• Demonstrated record of high-impact research publications in top-tier venues.
• Expertise in one or more AI subfields (e.g., NLP, CV, RL, deep learning).
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of mathematics, statistics, and algorithms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and effectively in a remote research environment.
• Strong communication and collaboration skills.

• Conduct cutting-edge research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and other AI domains.
• Develop and implement novel algorithms and models to solve complex problems.
• Design and execute experiments, analyze results, and draw insightful conclusions.
• Collaborate with a diverse team of researchers and engineers to advance AI capabilities.
• Stay current with the latest academic research and industry trends in AI.
• Publish research findings in top-tier conferences and journals.
• Contribute to the development of AI product features and platforms.
• Mentor junior researchers and provide technical leadership.
• Evaluate and integrate emerging AI technologies.

• 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 AI/ML, with a strong publication record.
• Expertise in one or more core AI areas (e.g., deep learning frameworks like TensorFlow/PyTorch, NLP, computer vision).
• Proficiency in programming languages such as Python.
• Strong understanding of statistical methods and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and lead research initiatives in a remote setting.
• Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
• Experience with large-scale data processing and distributed computing is a plus.

• Advanced degree in Ethics, Philosophy, Law, Computer Science, Sociology, or a related field with a focus on AI ethics.
• Proven experience (5+ years) in AI ethics, responsible AI, or technology policy.
• Strong understanding of AI/ML concepts, algorithms, and their societal implications.
• Demonstrated ability to conduct ethical risk assessments and develop mitigation strategies.
• Excellent analytical, research, and writing skills.
• Exceptional communication and presentation abilities, with experience engaging diverse audiences.
• Familiarity with relevant regulations and standards related to AI.
• Ability to work independently and collaboratively in a remote team environment.

• Lead cutting-edge research in Natural Language Processing, including areas like language generation, understanding, translation, and sentiment analysis.
• Develop and implement novel AI algorithms and models, utilizing deep learning frameworks (e.g., TensorFlow, PyTorch).
• Design and conduct experiments to evaluate model performance and identify areas for improvement.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with product teams to translate research breakthroughs into tangible AI-powered features and products.
• Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
• Stay abreast of the latest advancements in AI, machine learning, and NLP.
• Contribute to the strategic direction of the AI research roadmap.
• Develop and maintain high-quality, production-ready AI code.
• Present research findings to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• 7+ years of research experience in Natural Language Processing.
• Demonstrated track record of impactful research, evidenced by publications in leading AI venues (e.g., NeurIPS, ICML, ACL).
• Deep expertise in deep learning architectures for NLP, such as Transformers, RNNs, and CNNs.
• Proficiency in programming languages like Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of linguistics, machine learning theory, and statistical methods.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and collaboration skills, particularly in a remote setting.
• Proven ability to lead research projects and mentor team members.
• Experience with large-scale data processing and distributed computing is a plus.