1,867 Principal AI Engineer Machine Learning Platforms jobs in Kenya
Job Description
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)
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0
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 6 days ago
Job Viewed
Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- 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.
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1
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and visionary Principal AI Research Scientist specializing in Machine Learning and Computer Vision for a fully remote role. You will lead groundbreaking research initiatives aimed at developing novel AI algorithms and solutions that address complex real-world problems. This position requires a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Your responsibilities will include conceptualizing and executing research projects, developing and implementing cutting-edge ML models (deep learning, reinforcement learning, etc.), and driving innovation in areas such as object detection, image segmentation, and predictive modeling. You will collaborate with cross-functional teams of engineers and product managers to translate research breakthroughs into practical applications. A deep understanding of Python, TensorFlow, PyTorch, and other relevant ML frameworks is essential. The ideal candidate will possess exceptional analytical and problem-solving skills, a passion for scientific discovery, and the ability to mentor junior researchers and engineers. Experience with large-scale data processing and distributed computing environments is highly beneficial. This remote role demands strong communication skills for presenting complex research findings and fostering collaboration within a global, distributed team. You will be at the forefront of AI innovation, shaping the future of our client's technology landscape and contributing to significant advancements in artificial intelligence. This is an unparalleled opportunity to conduct high-impact research with the flexibility of remote work.
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2
Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and innovative Senior AI Research Scientist to join their cutting-edge research team. This is a fully remote position, offering an unparalleled opportunity to contribute to groundbreaking advancements in artificial intelligence, machine learning, and deep learning. The ideal candidate will possess a strong theoretical foundation and extensive practical experience in developing and implementing advanced AI models. You will be responsible for conceptualizing, designing, and executing research projects, with a focus on areas such as natural language processing, computer vision, reinforcement learning, or predictive analytics. Your role will involve staying at the forefront of AI research, publishing findings in top-tier conferences and journals, and collaborating with a global team of researchers and engineers. Key responsibilities include developing novel algorithms, building scalable AI systems, conducting rigorous experimentation, and translating research outcomes into practical applications. You will be expected to mentor junior researchers, contribute to the intellectual property portfolio, and actively participate in shaping the future direction of AI development within the organization. This role requires exceptional analytical skills, a deep understanding of mathematical principles underpinning AI, and proficiency in programming languages such as Python, R, and relevant AI frameworks (TensorFlow, PyTorch). The ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences is essential. As a remote-first role, strong self-motivation, excellent time management, and proactive collaboration skills are paramount.
Key Responsibilities:
Key Responsibilities:
- 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.
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3
Senior AI Research Scientist - Deep Learning & Computer Vision
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning and Computer Vision to join their pioneering team. This is a fully remote, impactful role where you will be at the forefront of developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing cutting-edge machine learning models and algorithms, with a particular focus on image recognition, object detection, and video analysis. Your work will directly contribute to innovative projects that push the boundaries of artificial intelligence. This position requires a deep understanding of mathematical principles, statistical modeling, and advanced programming techniques. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- 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.
Qualifications:
- 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.
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4
Principal Machine Learning Engineer (AI/ML)
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Principal Machine Learning Engineer to lead cutting-edge AI and Machine Learning initiatives. This is a fully remote position, offering an exceptional opportunity to shape the future of our AI-driven products and services.
As a Principal ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems. You will mentor junior engineers, drive technical strategy, and ensure the scalability and performance of our ML systems. This role requires a deep understanding of ML principles, strong programming skills, and the ability to work collaboratively in a distributed team environment. You will play a key role in advancing our AI capabilities and delivering innovative solutions.
Key Responsibilities:
As a Principal ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems. You will mentor junior engineers, drive technical strategy, and ensure the scalability and performance of our ML systems. This role requires a deep understanding of ML principles, strong programming skills, and the ability to work collaboratively in a distributed team environment. You will play a key role in advancing our AI capabilities and delivering innovative solutions.
Key Responsibilities:
- 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.
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5
Remote Data Science Apprentice - AI & Machine Learning
Posted 3 days ago
Job Viewed
Job Description
Our client is launching an exciting, fully remote Data Science Apprenticeship program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for aspiring data scientists to gain hands-on experience and foundational knowledge in a cutting-edge field. The apprenticeship is designed for individuals with a strong aptitude for numbers, logic, and problem-solving, who are eager to learn and contribute. As an apprentice, you will be mentored by experienced data scientists and will work on real-world projects, assisting with data collection, cleaning, preprocessing, and feature engineering. You will learn to apply various machine learning algorithms, build predictive models, and contribute to the development of AI-driven solutions. This role is entirely remote, allowing you to learn and grow from anywhere in Kenya. We provide a structured learning path, access to online courses, and regular feedback sessions to ensure your development. You will gain exposure to tools and technologies such as Python, R, SQL, and popular ML libraries like Scikit-learn, TensorFlow, and PyTorch. The program emphasizes collaborative learning, encouraging apprentices to share insights and learn from each other in a virtual environment. This is an ideal pathway for individuals seeking to build a career in data science and AI. The location for this fully remote role is considered **Meru, Meru, KE**, but you can work from any location. We are committed to fostering a diverse and inclusive learning environment. This is more than just training; it’s a career launchpad.
What You Will Learn:
What You Will Learn:
- Fundamentals of data science, statistics, and machine learning concepts.
- Data manipulation and analysis using Python and SQL.
- Building and evaluating machine learning models (classification, regression, clustering).
- Introduction to deep learning and neural networks.
- Data visualization techniques to communicate findings.
- Best practices for data preprocessing and feature engineering.
- Working effectively in a remote, collaborative team environment.
- A keen interest in data science, AI, and machine learning.
- Strong logical reasoning and problem-solving abilities.
- Basic understanding of mathematics and statistics.
- Familiarity with programming concepts is a plus.
- Excellent communication skills and a proactive learning attitude.
- Ability to work independently and manage time effectively in a remote setting.
- Must be eligible to work remotely within Kenya.
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6
AI/ML Research Scientist (Computer Vision)
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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7
Remote AI/ML Research Scientist (Computer Vision)
Posted 12 days ago
Job Viewed
Job Description
Our client is at the forefront of AI and Emerging Technologies, and we are seeking a brilliant Remote AI/ML Research Scientist specializing in Computer Vision. This is a fully remote position, offering you the chance to conduct groundbreaking research and develop cutting-edge solutions in visual intelligence. You will work with a world-class team to push the boundaries of what's possible in image and video analysis, object detection, recognition, and more.
Key Responsibilities:
Key Responsibilities:
- Conduct original research in computer vision and machine learning, focusing on areas such as image recognition, object detection, segmentation, and generative models.
- Develop and implement novel algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate model performance, analyze results, and iterate on research hypotheses.
- Collaborate with software engineers to translate research prototypes into deployable AI systems.
- Stay abreast of the latest academic research and industry trends in computer vision and AI.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property, including patents and proprietary algorithms.
- Analyze large-scale datasets to train and validate machine learning models.
- Effectively communicate complex research concepts and results to both technical and non-technical audiences.
- Mentor junior researchers and contribute to a collaborative and innovative research environment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Proven track record of research and development in computer vision, evidenced by publications, patents, or significant contributions to open-source projects.
- Strong theoretical understanding and practical experience with deep learning architectures (CNNs, RNNs, Transformers) and computer vision techniques.
- Proficiency in programming languages such as Python and experience with deep learning libraries (TensorFlow, PyTorch, Keras).
- Experience with data manipulation, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting research and collaborating effectively.
- Ability to work independently, manage research projects, and meet ambitious deadlines in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- A passion for pushing the boundaries of AI and its applications.
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8
Senior AI/ML Research Scientist (Computer Vision)
Posted 21 days ago
Job Viewed
Job Description
Our client, a pioneering research and development lab at the forefront of AI and Emerging Technologies, is seeking an exceptional Senior AI/ML Research Scientist specializing in Computer Vision. This fully remote role involves pushing the boundaries of artificial intelligence by developing novel algorithms and models for image and video analysis. The ideal candidate will have a Ph.D. or a strong Master's degree in a relevant field, a publication record in top-tier AI conferences, and extensive experience in deep learning frameworks. You will work on challenging problems with a world-class team of researchers.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in computer vision, including areas such as object detection, image segmentation, facial recognition, and 3D vision.
- Develop and implement novel deep learning models and algorithms for complex visual tasks.
- Design and execute experiments to validate research hypotheses and measure model performance.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
- Collaborate with other researchers and engineers to translate research findings into practical applications.
- Publish research results in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Contribute to the intellectual property of the organization through patents and publications.
- Mentor junior researchers and interns in AI/ML and computer vision.
- Contribute to the design and implementation of our AI infrastructure.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 5 years of research experience in AI/ML, with a strong focus on computer vision.
- Proven track record of publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python, and experience with scientific computing libraries (e.g., NumPy, SciPy).
- Strong understanding of classical computer vision techniques and modern deep learning architectures.
- Experience with large-scale datasets and distributed training is a plus.
- Ability to work independently and as part of a highly collaborative, remote research team.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
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