1,835 Ml Engineer 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 12 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a fully remote position offering the opportunity to work on groundbreaking projects at the forefront of artificial intelligence. The ideal candidate will possess a strong foundation in machine learning, deep learning, and extensive experience in developing and deploying computer vision models.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
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1
Principal AI/ML Engineer (Computer Vision)
Posted 19 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 19 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
Principal AI Engineer (Computer Vision)
Posted 19 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled Principal AI Engineer specializing in Computer Vision to lead innovative development efforts. This role is fully remote, offering the flexibility to work from anywhere. You will be at the forefront of designing, developing, and deploying state-of-the-art computer vision models and systems. This includes working on tasks such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will possess a deep theoretical understanding of machine learning and deep learning, coupled with extensive practical experience in building and optimizing computer vision algorithms. You will collaborate with a talented team of researchers and engineers, contributing to the entire lifecycle of AI products, from conception to production. Strong programming skills in Python and proficiency with deep learning frameworks like TensorFlow or PyTorch are essential. We seek an individual who can tackle complex challenges, drive technical excellence, and mentor junior engineers. A significant publication record in top-tier computer vision conferences or journals is highly desirable. Your ability to translate complex research into scalable and robust engineering solutions will be critical. This position offers an exceptional opportunity to shape the future of AI-powered visual intelligence in a dynamic, remote-first environment.
Key Responsibilities:
Key Responsibilities:
- Lead the design and implementation of advanced computer vision algorithms and systems.
- Develop and train deep learning models for tasks such as object detection, segmentation, tracking, and recognition.
- Optimize model performance for accuracy, speed, and efficiency on various hardware platforms.
- Conduct research into new computer vision techniques and approaches.
- Collaborate with software engineers to integrate computer vision models into production applications.
- Evaluate and benchmark model performance rigorously.
- Mentor and guide junior AI engineers and researchers.
- Stay current with the latest advancements in the field of computer vision and AI.
- Contribute to technical strategy and roadmap for AI/CV initiatives.
- Write high-quality, production-ready code and comprehensive technical documentation.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning.
- Minimum of 8 years of experience in computer vision research and development.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras.
- Strong proficiency in Python and C++.
- Solid understanding of image processing techniques and mathematical principles underlying computer vision.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong communication and collaboration skills for a remote team environment.
This advertiser has chosen not to accept applicants from your region.
4
Lead AI Engineer - Deep Learning
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and visionary Lead AI Engineer specializing in Deep Learning to spearhead advanced research and development projects. This is a fully remote role, allowing you to collaborate with a world-class team from anywhere. You will be instrumental in designing, developing, and deploying sophisticated deep learning models that solve complex real-world problems. The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, coupled with extensive practical experience in building and training neural networks for various applications, such as computer vision, natural language processing, or predictive analytics. Key responsibilities include leading the AI/ML roadmap, mentoring junior engineers, overseeing model development lifecycles, and ensuring the scalability and performance of deployed solutions. You will work closely with product managers and other engineers to integrate AI capabilities into new and existing products. Experience with deep learning frameworks like TensorFlow, PyTorch, and Keras is essential, as is proficiency in Python and relevant libraries. Familiarity with MLOps practices, cloud platforms (AWS, Azure, GCP), and big data technologies is highly desirable. The role demands exceptional problem-solving skills, a passion for innovation, and the ability to translate cutting-edge research into practical, high-impact solutions. You will champion best practices in AI development and contribute to the intellectual property of the company. This is a leadership opportunity to make significant contributions to the field of artificial intelligence, supporting initiatives conceptually linked to **Kericho, Kericho, KE**.
Key Responsibilities:
Key Responsibilities:
- Lead the research, design, and implementation of deep learning models.
- Develop and optimize algorithms for large-scale datasets.
- Mentor and guide junior AI/ML engineers.
- Oversee the entire ML model lifecycle, from experimentation to production.
- Collaborate with cross-functional teams to define AI requirements and solutions.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure the performance, scalability, and reliability of AI systems.
- Contribute to publications and patents in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of hands-on experience in deep learning and AI development.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries (NumPy, Pandas).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with MLOps, cloud computing, and big data technologies.
- Excellent leadership, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
5
Senior AI/ML Engineer (Computer Vision)
Posted 19 days ago
Job Viewed
Job Description
Our client is actively seeking a highly skilled and experienced Senior 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. You will be instrumental in designing, implementing, and optimizing machine learning models for tasks such as image recognition, object detection, video analysis, and scene understanding. The ideal candidate will have a strong background in computer vision algorithms, deep learning frameworks, and large-scale data processing. You will collaborate closely with product managers, data scientists, and other engineers to define project requirements, develop robust algorithms, and ensure the scalability and performance of AI systems. Responsibilities include conducting research into state-of-the-art computer vision techniques, prototyping new features, building and training complex neural networks, and deploying models into production environments. You will also be responsible for evaluating model performance, identifying areas for improvement, and implementing optimization strategies. Proficiency in Python and ML libraries like TensorFlow, PyTorch, or Keras is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. We are looking for an innovative thinker with excellent analytical and problem-solving skills, capable of tackling complex technical challenges. This is a fully remote position, offering the flexibility to work from any location. While the operational context is related to Mlolongo, Machakos, KE , your role as a Senior AI/ML Engineer will be conducted entirely remotely, allowing access to a global talent pool. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, along with a strong publication record or significant contributions to open-source projects, will be a strong asset. Join us to push the boundaries of AI and make a tangible impact.
This advertiser has chosen not to accept applicants from your region.
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6
Remote AI/ML Engineer - Computer Vision
Posted 19 days ago
Job Viewed
Job Description
Our client is a leader in applying cutting-edge artificial intelligence to solve complex problems and is seeking a talented Remote AI/ML Engineer specializing in Computer Vision to join their innovative, fully remote team. This role is pivotal in developing and deploying advanced machine learning models for image and video analysis. You will be responsible for the entire lifecycle of ML models, from data collection and preprocessing to model training, evaluation, and deployment. Key areas of focus include object detection, image segmentation, facial recognition, and video analytics. The ideal candidate possesses a strong theoretical understanding of machine learning algorithms, particularly deep learning techniques, and practical experience implementing them using frameworks like TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python is essential. You will work with large datasets, requiring strong data wrangling and feature engineering skills. This is a remote position, demanding excellent self-management, proactive communication, and the ability to collaborate effectively with a distributed team of researchers and engineers. You will contribute to groundbreaking projects that push the boundaries of AI capabilities. The ability to troubleshoot complex technical challenges and optimize model performance for real-world applications is crucial. If you are passionate about computer vision, thrive in a remote work environment, and are eager to make a significant impact, we encourage you to apply. Your contributions will help shape the future of intelligent systems.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks (object detection, segmentation, recognition, etc.).
- Collect, clean, and preprocess large datasets for model training and evaluation.
- Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Develop and maintain robust ML pipelines for data processing, training, and inference.
- Optimize model performance for accuracy, speed, and resource efficiency.
- Deploy ML models into production environments, collaborating with software engineers.
- Research and stay abreast of the latest advancements in AI, ML, and computer vision.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Document model architectures, experiments, and results thoroughly.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying computer vision models.
- Strong theoretical and practical knowledge of deep learning techniques (CNNs, RNNs, Transformers).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data augmentation, model optimization, and performance evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage projects effectively.
This advertiser has chosen not to accept applicants from your region.
7
Principal AI Research Engineer - Computer Vision
Posted 4 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Principal AI Research Engineer specializing in Computer Vision. This is a fully remote, high-impact role where you will drive the development of next-generation AI solutions. You will lead research initiatives, design novel algorithms, and implement state-of-the-art computer vision models for complex challenges. Responsibilities include conceptualizing and executing research projects, developing and optimizing deep learning architectures for image and video analysis, and pushing the boundaries of AI capabilities. You will be instrumental in translating cutting-edge research into practical, deployable AI systems. Collaboration with cross-functional teams, including software engineers, product managers, and other researchers, is essential. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier AI conferences or journals. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and proficiency in languages like Python are mandatory. You should have a deep understanding of various computer vision tasks, including object detection, image segmentation, tracking, and 3D reconstruction. Experience leading research projects and mentoring junior engineers is highly desirable. This role requires a curious mind, exceptional problem-solving skills, and the ability to work independently and creatively in a remote setting. You will be expected to stay abreast of the latest advancements in AI and computer vision and contribute to the company's intellectual property through innovation and patents. This is a unique opportunity to shape the future of AI and make a significant contribution to the field, working remotely to support our client's pioneering efforts in Mlolongo, Machakos, KE and globally.
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8
Senior AI/ML Engineer - Deep Learning
Posted 19 days ago
Job Viewed
Job Description
Our client, a leader in AI innovation, is looking for a highly skilled and experienced Senior AI/ML Engineer specializing in Deep Learning to join their cutting-edge, fully remote team. You will be instrumental in designing, developing, and deploying advanced machine learning models and artificial intelligence solutions that drive groundbreaking products and services. This role requires a deep theoretical understanding of AI/ML algorithms, robust practical experience with deep learning frameworks, and the ability to translate complex business problems into AI-driven solutions. You will work collaboratively with a team of researchers, engineers, and product managers to push the boundaries of AI technology.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, train, and deploy state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Conduct research into new AI/ML techniques and algorithms, evaluating their potential applications.
- Preprocess and analyze large, complex datasets to extract valuable insights for model training.
- Implement and optimize machine learning algorithms for scalability and performance.
- Collaborate with software engineers to integrate AI/ML models into production systems and applications.
- Develop and maintain robust ML pipelines and MLOps practices.
- Evaluate and benchmark model performance, identifying areas for improvement and iteration.
- Stay abreast of the latest advancements and research in AI, machine learning, and deep learning.
- Document technical specifications, algorithms, and experimental results.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Participate in code reviews and provide constructive feedback.
- Communicate technical findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in developing and deploying AI/ML models, with a strong emphasis on deep learning.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with MLOps, model deployment, and monitoring is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Published research in top-tier AI conferences or journals is a significant plus.
- Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
This advertiser has chosen not to accept applicants from your region.
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