279 Machine Learning jobs in Nairobi

• Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
• Process, clean, and analyze large-scale image and video datasets.
• Experiment with and evaluate various ML algorithms and architectures.
• Collaborate with software engineers to integrate ML models into production systems.
• Optimize model performance for efficiency, accuracy, and scalability.
• Stay abreast of the latest research and advancements in AI, ML, and computer vision.
• Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
• Develop and maintain robust data pipelines and MLOps practices.
• Write high-quality, maintainable code in Python and relevant ML frameworks.
• Participate in code reviews and provide constructive feedback.
• Present research findings and technical solutions to both technical and non-technical audiences.
• Mentor junior engineers and contribute to the team's technical growth.
• Identify opportunities for applying AI/ML to solve business challenges.
• Ensure ethical considerations and fairness are integrated into AI development.
• Document research, experiments, and model performance.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
• Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
• Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
• Experience with data augmentation, transfer learning, and model optimization techniques.
• Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
• Strong programming skills and experience with software development best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills for effective remote work.
• Proven ability to work independently and manage complex projects.
• Experience with MLOps tools and practices is highly desirable.
• Publication record in relevant AI/ML conferences or journals is a plus.

• Design, build, and train deep learning models for various applications (e.g., computer vision, natural language processing).
• Develop and implement robust machine learning pipelines for data preprocessing, feature engineering, and model evaluation.
• Conduct research into state-of-the-art AI and ML techniques and explore their application to business problems.
• Analyze large, complex datasets to extract insights and identify patterns relevant to model development.
• Optimize model performance, scalability, and efficiency for production deployment.
• Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions into existing systems.
• Stay current with the latest advancements in AI/ML research and technologies.
• Write clean, well-documented, and maintainable code in languages such as Python.
• Participate in code reviews and contribute to the continuous improvement of ML development practices.
• Present research findings and model performance to technical and non-technical audiences.

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

• Design, develop, and deploy scalable machine learning models and AI systems.
• Conduct research and experimentation to identify and implement state-of-the-art AI/ML algorithms.
• Process, clean, and analyze large, complex datasets to extract meaningful insights.
• Build and maintain robust data pipelines for model training and inference.
• Collaborate with software engineers to integrate AI/ML models into production environments.
• Lead and mentor a team of AI/ML engineers, providing technical guidance and fostering innovation.
• Evaluate and select appropriate tools, frameworks, and technologies for AI/ML development.
• Develop strategies for model validation, testing, and performance monitoring.
• Stay current with the latest research and advancements in AI and machine learning.
• Communicate technical concepts and project progress effectively to both technical and non-technical stakeholders.
• Ensure ethical considerations and responsible AI practices are integrated into development.
• Contribute to the overall AI strategy and roadmap of the company.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 6 years of experience in AI/ML engineering, with at least 2 years in a leadership or lead role.
• Proven experience in developing and deploying machine learning models in production environments.
• Expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn.
• Strong understanding of various ML algorithms (e.g., deep learning, natural language processing, computer vision).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership, communication, and team collaboration skills, essential for remote work.
• Ability to work independently and drive projects to completion.

• Design and architect end-to-end AI/ML solutions, from data ingestion and preprocessing to model training, deployment, and monitoring.
• Develop and implement machine learning models for various applications, including predictive analytics, natural language processing, computer vision, and recommendation systems.
• Evaluate and select appropriate AI/ML algorithms, frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and tools for specific projects.
• Build scalable and robust data pipelines for training and deploying ML models in cloud environments (AWS, Azure, GCP).
• Collaborate with data scientists, engineers, and business stakeholders to define project requirements and translate them into technical solutions.
• Ensure the performance, reliability, and security of AI/ML systems.
• Stay abreast of the latest advancements in AI/ML research and technologies, and identify opportunities for innovation.
• Provide technical leadership and mentorship to junior team members.
• Develop proof-of-concepts and prototypes to demonstrate the feasibility of AI/ML solutions.
• Document architectural designs, algorithms, and implementation details.
• Optimize existing ML models for performance and efficiency.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
• 5+ years of experience in designing and implementing AI/ML solutions.
• In-depth knowledge of machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong programming skills in Python, Java, or similar languages.
• Experience with big data technologies (e.g., Spark, Hadoop) and databases (SQL, NoSQL).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Proven ability to work effectively in a remote, collaborative environment.