1,155 AI Ml 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

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in developing and deploying AI/ML models in production.
• Strong expertise in machine learning algorithms, deep learning architectures, and statistical modeling.
• Proficiency in programming languages such as Python, R, and libraries like TensorFlow, PyTorch, Keras, Scikit-learn.
• Experience with data pipelines, big data technologies (e.g., Spark), and cloud platforms (AWS, Azure, GCP).
• Solid understanding of software development principles and best practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Outstanding communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Experience with MLOps practices is highly desirable.
• Must be legally authorized to work in Kenya.

• Lead the design, development, and implementation of sophisticated AI/ML models and algorithms.
• Architect and build scalable ML systems for production environments.
• Conduct research into new AI/ML techniques and technologies to identify opportunities for innovation.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and solutions.
• Mentor and guide junior AI/ML engineers, fostering technical growth and best practices.
• Optimize model performance, efficiency, and scalability.
• Develop and maintain robust data pipelines and infrastructure for ML development.
• Stay at the forefront of AI/ML research and apply relevant advancements.
• Evaluate and select appropriate tools, technologies, and frameworks for AI/ML projects.
• Translate complex business requirements into technical AI/ML specifications.
• Ensure the ethical and responsible development and deployment of AI systems.
• Present findings, progress, and technical recommendations to stakeholders.
• Contribute to the overall AI strategy and roadmap of the organization.
• Troubleshoot and resolve complex technical issues in AI/ML systems.
• Drive best practices in MLOps, model versioning, and deployment.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 8+ years of progressive experience in AI/ML engineering, with a significant focus on building and deploying production systems.
• Deep expertise in a wide range of ML algorithms (e.g., deep learning, natural language processing, computer vision, reinforcement learning).
• Proficiency in programming languages such as Python, Java, or C++.
• Extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.
• Proven ability to design and implement scalable ML architectures.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong leadership and mentoring capabilities.
• Exceptional communication and collaboration skills, with the ability to explain complex technical concepts.
• Ability to work independently and lead technical initiatives in a remote setting.
• Experience with MLOps practices and tools is highly desirable.

• Design and architect end-to-end AI/ML solutions, from data ingestion and preparation to model deployment and monitoring.
• Collaborate with data scientists to select appropriate algorithms and build robust machine learning models.
• Develop strategies for data acquisition, cleaning, and feature engineering.
• Implement and deploy AI/ML models into production environments using cloud services (e.g., AWS, Azure, GCP).
• Evaluate and select appropriate AI/ML tools, frameworks, and platforms.
• Ensure the scalability, reliability, and performance of AI/ML solutions.
• Provide technical leadership and guidance to development teams.
• Stay abreast of the latest advancements in AI/ML research and industry trends.
• Communicate complex technical concepts to both technical and non-technical audiences.
• Develop proof-of-concepts and prototypes to demonstrate the value of AI/ML solutions.
• Contribute to the development of best practices for AI/ML development and deployment.

• Designing, building, training, and deploying machine learning models for various applications.
• Developing and implementing robust AI algorithms and data pipelines.
• Collaborating with data scientists and software engineers to integrate ML models into production systems.
• Performing data preprocessing, feature engineering, and model evaluation.
• Staying abreast of the latest advancements in AI, machine learning, and deep learning.
• Conducting research to identify and implement new AI technologies and approaches.
• Optimizing model performance for efficiency and scalability.
• Documenting AI/ML projects, methodologies, and results.
• Contributing to the ethical considerations and responsible deployment of AI systems.
• Troubleshooting and resolving issues related to ML model performance and deployment.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience (3+ years) as an AI/ML Engineer or in a similar role.
• Strong programming skills in Python, with proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of statistical modeling, algorithms, and data structures.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML deployment.
• Familiarity with big data technologies and tools.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration abilities, with experience working in remote teams.
• A creative and innovative mindset with a passion for AI.
• A reliable internet connection and a dedicated, quiet workspace are essential for this remote role.

• Lead the design, development, and implementation of sophisticated AI/ML models and algorithms.
• Develop and maintain robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Architect and build scalable machine learning systems and infrastructure.
• Collaborate with data scientists, software engineers, and domain experts to define project requirements and deliver impactful AI solutions.
• Stay at the forefront of AI/ML research, identifying and incorporating state-of-the-art techniques and tools.
• Optimize model performance, efficiency, and scalability for production environments.
• Conduct rigorous experimentation and validation of ML models.
• Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
• Communicate complex technical concepts and findings effectively to both technical and non-technical audiences.
• Ensure the ethical and responsible development and deployment of AI systems.
• This position is fully remote, with the administrative **job location in Kakamega, Kakamega, KE**.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 7+ years of professional experience in AI/ML engineering, with a proven track record of delivering production-level ML systems.
• Deep expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, Keras).
• Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Proficiency in data engineering, big data technologies, and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, essential for a remote team environment.
• Experience leading technical projects and mentoring other engineers.
• Knowledge of natural language processing (NLP), computer vision, or reinforcement learning is a plus.

• Design, develop, and implement machine learning and deep learning models.
• Collect, clean, and preprocess large datasets for model training.
• Evaluate model performance and iterate on designs to improve accuracy and efficiency.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with data scientists, software engineers, and domain experts to understand business requirements and translate them into AI solutions.
• Stay abreast of the latest research and advancements in AI, machine learning, and related fields.
• Develop and maintain documentation for AI/ML models and projects.
• Optimize ML pipelines for scalability and performance.
• Contribute to the ethical and responsible development of AI technologies.
• Present findings and model performance to stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience in developing and deploying machine learning models.
• Strong programming skills in Python and proficiency with ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Solid understanding of statistical modeling, data mining, and algorithm development.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
• A portfolio of AI/ML projects is highly recommended.

• Design, develop, and implement machine learning models and algorithms.
• Process, clean, and transform large datasets for analysis and model training.
• Conduct feature engineering and selection to improve model performance.
• Train, evaluate, and optimize various machine learning models (e.g., supervised, unsupervised, deep learning).
• Develop and deploy solutions for natural language processing (NLP), computer vision, or predictive analytics.
• Collaborate with cross-functional teams to define project requirements and deliver AI solutions.
• Stay up-to-date with the latest advancements in AI/ML research and technologies.
• Deploy ML models into production environments and monitor their performance.
• Document methodologies, code, and results thoroughly.
• Communicate findings and insights to stakeholders effectively.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience as an AI/ML Engineer or Data Scientist.
• Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, statistical modeling, and deep learning techniques.
• Experience with data processing frameworks (e.g., Pandas, Spark).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Ability to work independently and manage projects effectively in a remote setting.
• Experience with large-scale data processing and distributed computing is a plus.