1,834 AI Engineering 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
Lead AI/ML Engineer - Computer Vision
Posted 2 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation in AI and Emerging Technologies and is seeking a highly skilled Lead AI/ML Engineer specializing in Computer Vision. This is a fully remote position, offering the chance to drive cutting-edge projects from your home office. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems. The ideal candidate will have a deep understanding of machine learning algorithms, deep learning frameworks, and state-of-the-art computer vision techniques. You will lead a team of talented engineers, mentor junior members, and collaborate with product managers to bring innovative AI solutions to life. This role requires a self-starter with strong technical leadership and excellent communication skills to thrive in a remote work environment.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of computer vision algorithms and models.
- Build and train deep learning models for image recognition, object detection, segmentation, and tracking.
- Optimize model performance for accuracy, efficiency, and scalability across various platforms.
- Develop and maintain robust data pipelines for training and evaluating computer vision models.
- Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
- Stay current with the latest research and advancements in computer vision and deep learning.
- Mentor and guide junior AI/ML engineers, fostering technical excellence and best practices.
- Architect scalable and robust ML systems for production deployment.
- Conduct rigorous testing and validation of AI models to ensure reliability and performance.
- Contribute to the technical roadmap and strategic direction of the AI/ML team.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Troubleshoot and resolve issues related to AI/ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in AI/ML or Computer Vision.
- Minimum of 6-8 years of hands-on experience in developing and deploying computer vision models.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment.
- Solid understanding of image processing techniques and digital signal processing.
- Experience in leading technical teams and mentoring engineers is highly desirable.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, remote environment.
- Strong communication and collaboration skills.
- Familiarity with data augmentation, transfer learning, and other model optimization techniques.
- Experience with real-time computer vision applications is a plus.
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1
Principal AI/ML Engineer (Computer Vision)
Posted 23 days ago
Job Viewed
Job Description
Our client, a leading innovator in applied artificial intelligence and machine learning, is seeking a highly experienced and visionary Principal AI/ML Engineer with a specialization in Computer Vision to join their cutting-edge and fully remote research and development team. This senior role is critical for advancing our capabilities in areas such as image recognition, object detection, video analysis, and augmented reality. You will be responsible for designing, developing, and deploying state-of-the-art AI models and algorithms that solve complex real-world problems.
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- 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 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
This advertiser has chosen not to accept applicants from your region.
2
Lead AI/ML Engineer (Deep Learning)
Posted 23 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking an exceptional Lead AI/ML Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the opportunity to work from anywhere within Kenya and contribute to groundbreaking advancements. The Lead AI/ML Engineer will be instrumental in designing, developing, and deploying state-of-the-art machine learning models and artificial intelligence solutions. You will lead the technical direction for deep learning projects, mentor junior engineers, and collaborate with product managers and data scientists to translate business requirements into scalable AI systems. Responsibilities include building and optimizing neural networks, developing robust data pipelines, implementing MLOps best practices, and evaluating model performance. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms, extensive hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a proven ability to deliver complex AI solutions in production environments. This role demands exceptional problem-solving skills, a passion for cutting-edge technology, and the ability to thrive in a fast-paced, remote-first setting.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
This advertiser has chosen not to accept applicants from your region.
3
Senior AI/ML Engineer - Computer Vision
Posted 23 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking a highly skilled Senior AI/ML Engineer specializing in Computer Vision. This role offers the exciting opportunity to design, develop, and deploy cutting-edge machine learning models and applications. You will work on challenging problems involving image recognition, object detection, semantic segmentation, and more. The ideal candidate will have a strong theoretical foundation in AI/ML and practical experience in building and optimizing production-ready computer vision systems. This position can be fully remote, offering flexibility to talented individuals.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for computer vision tasks.
- Train, evaluate, and optimize deep learning models using large-scale datasets.
- Develop and maintain robust data pipelines for image and video data processing.
- Deploy ML models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with software engineers, product managers, and other stakeholders to integrate AI/ML solutions into existing products and services.
- Stay up-to-date with the latest research and advancements in AI/ML and computer vision.
- Conduct research and experiments to explore new techniques and approaches.
- Write clean, efficient, and well-documented code.
- Contribute to the team's knowledge sharing and mentorship of junior engineers.
- Troubleshoot and debug complex ML systems.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on computer vision.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of computer vision fundamentals, including image processing, object detection, classification, and segmentation.
- Proficiency in programming languages such as Python.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with large-scale data handling and distributed training is a plus.
- A portfolio of relevant projects or contributions to open-source ML libraries is highly desirable.
This advertiser has chosen not to accept applicants from your region.
4
Remote AI/ML Engineer - Computer Vision
Posted 23 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Remote AI/ML Engineer with a specialization in Computer Vision to drive the development of cutting-edge artificial intelligence solutions. This role is pivotal in advancing our capabilities in image and video analysis, object detection, facial recognition, and other vision-based AI applications. You will be responsible for designing, building, training, and deploying machine learning models that solve complex real-world problems. The ideal candidate possesses a strong theoretical understanding of deep learning frameworks, computer vision algorithms, and data science principles, combined with hands-on experience in model development and optimization. You will work closely with a team of data scientists, software engineers, and product managers to translate business requirements into functional AI systems, all within a fully remote setting. Responsibilities include data preprocessing, feature engineering, model selection and evaluation, performance tuning, and deployment. Excellent programming skills in Python and proficiency with libraries like TensorFlow, PyTorch, and OpenCV are essential. Strong analytical and problem-solving abilities are required to tackle challenging AI tasks and iterate on solutions effectively. This position demands a proactive, research-oriented mindset, a commitment to staying at the forefront of AI advancements, and the capacity to manage complex projects independently. Contributing to the development of groundbreaking AI technologies that provide significant business value is the core mission. This is an exceptional opportunity for an AI/ML expert to apply their vision expertise remotely and shape the future of intelligent systems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks (e.g., image classification, object detection, segmentation).
- Process and analyze large datasets of images and videos.
- Experiment with various deep learning architectures and algorithms.
- Train, evaluate, and fine-tune machine learning models for optimal performance.
- Deploy ML models into production environments.
- Collaborate with software engineers to integrate AI models into applications.
- Conduct research on state-of-the-art computer vision techniques.
- Optimize model performance for speed and efficiency.
- Write clean, well-documented, and maintainable code.
- Stay updated on the latest advancements in AI, ML, and computer vision.
- Contribute to technical documentation and knowledge sharing.
- Troubleshoot and resolve issues related to ML model performance.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 3 years of experience in AI/ML engineering, with a focus on computer vision.
- Proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Strong experience with computer vision libraries (e.g., OpenCV).
- Solid understanding of deep learning principles and various model architectures (CNNs, RNNs, Transformers).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Strong analytical, problem-solving, and algorithmic thinking skills.
- Excellent communication and collaboration abilities for remote work.
- Published research in relevant conferences or journals is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior AI/ML Engineer - Deep Learning
Posted 12 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Deep Learning to join their cutting-edge research and development team. This fully remote position offers the opportunity to work on groundbreaking projects, pushing the boundaries of artificial intelligence. The ideal candidate will possess a deep understanding of machine learning algorithms, statistical modeling, and advanced programming skills, with a proven ability to design, develop, and deploy sophisticated deep learning models. You will contribute to solving complex problems and driving innovation through AI.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced deep learning models for various applications.
- Conduct research into state-of-the-art AI/ML techniques and identify opportunities for their application.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
- Process, clean, and analyze large datasets to train and evaluate machine learning models.
- Optimize model performance for efficiency, accuracy, and scalability.
- Deploy machine learning models into production environments, working closely with software engineering teams.
- Monitor and maintain deployed models, making necessary updates and improvements.
- Stay abreast of the latest advancements in AI, deep learning, and related fields.
- Document research findings, model architectures, and implementation details.
- Mentor junior AI/ML engineers and contribute to the team's knowledge base.
- Present technical findings and project updates to both technical and non-technical audiences.
- Ensure responsible and ethical AI development practices are followed.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Proficiency in programming languages such as Python, and expertise in ML libraries like TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML model development and deployment.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, comfortable working in a fully remote team environment.
- Experience with MLOps principles and practices is a plus.
- Publications in top-tier AI conferences or journals are highly regarded.
This advertiser has chosen not to accept applicants from your region.
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6
Principal Machine Learning Engineer (AI/ML)
Posted 5 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.
This advertiser has chosen not to accept applicants from your region.
7
Lead AI/ML Engineer - Computer Vision (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is looking for a highly accomplished Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is central to developing and deploying advanced AI solutions that leverage visual data for groundbreaking applications. You will be responsible for designing, implementing, and optimizing deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will possess a profound understanding of computer vision algorithms, neural networks, and machine learning frameworks (e.g., TensorFlow, PyTorch). You will lead a team of talented engineers, guiding them through the entire ML lifecycle, from data preprocessing and model training to deployment and monitoring in production environments. This is a remote-first position, requiring exceptional leadership, communication, and collaboration skills to effectively manage a distributed team and interact with stakeholders. You will stay abreast of the latest research and advancements in AI and computer vision, identifying opportunities to integrate novel techniques into our product offerings. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. We seek an individual with a strong theoretical foundation and practical experience in solving complex real-world problems using AI. A proven track record of delivering successful computer vision projects, ideally in areas like autonomous systems, medical imaging, or augmented reality, is essential. You must be adept at debugging complex models, optimizing performance, and ensuring the scalability and robustness of AI systems. The job location for context, although this position is fully remote, is **Mombasa, Mombasa, KE**.
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8
Principal AI/ML Engineer - Computer Vision - Remote
Posted 14 days ago
Job Viewed
Job Description
Our client is seeking a highly innovative and experienced Principal AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is pivotal in driving the research, development, and deployment of advanced machine learning models for image and video analysis. The ideal candidate will have a deep theoretical understanding and extensive practical experience in areas such as object detection, image segmentation, facial recognition, and deep learning architectures. You will lead complex projects, mentor junior engineers, and contribute to the company's technological roadmap. This position requires exceptional problem-solving skills, a passion for pushing the boundaries of AI, and the ability to work effectively in a collaborative, remote environment.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art AI/ML models for computer vision tasks.
- Conduct research into new algorithms, techniques, and frameworks to enhance model performance and capabilities.
- Develop and optimize deep learning models using frameworks like TensorFlow, PyTorch, or similar.
- Implement robust data pipelines for training, validation, and deployment of computer vision models.
- Collaborate closely with product managers, software engineers, and other stakeholders to define project requirements and deliverables.
- Evaluate model performance, identify areas for improvement, and implement solutions.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
- Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.
- Contribute to the architectural design of AI/ML systems and platforms.
- Publish research findings and present technical work to internal and external audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of experience in AI/ML engineering, with a significant focus on computer vision.
- Demonstrated expertise in deep learning, convolutional neural networks (CNNs), and other relevant AI architectures.
- Proficiency in programming languages such as Python, C++, and experience with ML libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Proven ability to lead technical projects and mentor teams.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, suitable for a remote work setting.
- A portfolio of impactful AI/ML projects, especially in computer vision, is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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