5,855 Senior Machine Learning Engineer Computer Vision jobs in Kenya

• Design, develop, and implement state-of-the-art deep learning models for various applications, including but not limited to, computer vision, natural language processing, and predictive analytics.
• Conduct research into new AI techniques and algorithms, staying at the forefront of the field.
• Preprocess, clean, and manage large datasets for model training and evaluation.
• Train, validate, and fine-tune deep learning models to achieve optimal performance.
• Develop robust and scalable ML pipelines for deployment in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products and services.
• Evaluate the performance of ML models and identify areas for improvement.
• Write clean, efficient, and well-documented code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
• Stay updated with the latest research papers, conferences, and industry trends in AI and machine learning.
• Contribute to the technical roadmap and strategic direction of the AI team.
• Mentor junior engineers and share knowledge within the team.

• 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.
• Strong expertise in Python programming and experience with major ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
• Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Proficiency in cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and the ability to work on complex, ambiguous challenges.
• Strong communication and collaboration skills, essential for a remote team environment.
• Proven ability to work independently and manage projects effectively.
• Published research in top-tier AI/ML conferences or journals is highly desirable.
• This role will support projects and initiatives relevant to the **Mlolongo, Machakos, KE** region.

• 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.

• 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.

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, implement, and deploy advanced machine learning models and algorithms for various applications.
• Conduct cutting-edge research into new ML techniques and their potential applications.
• Develop and optimize production-level ML pipelines for training, evaluation, and deployment.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, in a remote setting.
• Architect and build scalable, robust, and efficient ML systems.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
• Mentor and guide junior machine learning engineers and data scientists.
• Evaluate and integrate new technologies and tools to improve ML capabilities.
• Contribute to the company's intellectual property through publications and patents.
• Ensure the ethical and responsible development and deployment of AI systems.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of progressive experience in machine learning engineering or research.
• Proven track record of developing and deploying complex ML models in production environments.
• Expertise in programming languages such as Python, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of deep learning architectures, natural language processing (NLP), computer vision, or reinforcement learning.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and interpersonal skills for effective collaboration in a remote team.
• Demonstrated leadership capabilities and experience mentoring others.
• Strong understanding of data structures, algorithms, and software design principles.
• Commitment to reproducible research and rigorous scientific methodology.
• A passion for pushing the boundaries of AI and its real-world applications, while based anywhere, your impact is felt globally.

• Architect, develop, and deploy sophisticated deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
• Lead AI research and development initiatives, exploring new algorithms, techniques, and frameworks.
• Mentor and guide a team of AI engineers and data scientists, fostering a culture of technical excellence.
• Collaborate with product management and engineering teams to define AI strategy and roadmaps.
• Optimize AI models for performance, scalability, and efficiency in production environments.
• Stay abreast of the latest advancements in AI, machine learning, and related fields.
• Design and implement robust ML pipelines for data processing, training, and evaluation.
• Evaluate and integrate third-party AI technologies and services where appropriate.
• Present complex AI concepts and findings to technical and non-technical stakeholders.
• Ensure the ethical development and deployment of AI systems.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 10+ years of experience in AI/ML engineering, with at least 5 years in a lead or principal role.
• Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proven track record of successfully designing and deploying complex AI models in production.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Extensive knowledge of various AI algorithms, including neural networks, reinforcement learning, and generative models.
• Experience with cloud AI platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
• Excellent leadership, communication, and collaboration skills, essential for a remote-first environment.
• Ability to translate business problems into AI solutions.
• While the role is fully remote, occasional interaction with project teams based near Kitale, Trans-Nzoia, KE may be part of the work.