1,062 Senior AI Ml Engineer Predictive Modeling jobs in Kenya

• Design, develop, and implement machine learning models and algorithms.
• Perform data mining, feature engineering, and data preprocessing for model training.
• Evaluate and optimize model performance using various metrics.
• Deploy machine learning models into production environments.
• Collaborate with data scientists and software engineers to integrate AI solutions.
• Conduct research on state-of-the-art AI/ML techniques and algorithms.
• Build and maintain data pipelines for ML workflows.
• Troubleshoot and debug model performance issues.
• Develop and maintain documentation for AI/ML projects.
• Stay current with advancements in AI, machine learning, and deep learning.
• Contribute to the company's intellectual property through innovation.
• Present technical findings and insights to cross-functional teams.

• Master's degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying machine learning models.
• Proficiency in programming languages such as Python or R.
• Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of statistical modeling, algorithms, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities in a remote setting.
• Ability to work independently and manage complex projects.
• Experience with big data technologies (e.g., Spark) is beneficial.

• 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.

• 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.

• 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.

• 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.

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)

• Design, develop, and implement state-of-the-art AI and Machine Learning models.
• Perform data collection, preprocessing, and feature engineering for model training.
• Select, tune, and evaluate appropriate ML algorithms and deep learning architectures.
• Deploy ML models into production environments, ensuring scalability and performance.
• Collaborate with data scientists, engineers, and product managers to define project requirements.
• Stay abreast of the latest research and advancements in AI/ML.
• Develop and maintain robust documentation for models and systems.
• Mentor junior engineers and contribute to the team's technical growth.
• Troubleshoot and optimize AI/ML pipelines and infrastructure.
• Contribute to the company's intellectual property through innovative solutions.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of professional experience in AI/ML development.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong understanding of statistical modeling, data mining, and data visualization.
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to work independently and manage multiple projects in a remote setting.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts.

• 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.

• 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.

• 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.