4,301 Senior Technical Recruiter Tech Sector jobs in Kenya

• Assist in the development and implementation of AI and machine learning algorithms.
• Write clean, well-documented, and efficient code in Python.
• Support data collection, cleaning, and preprocessing for ML models.
• Participate in the testing and debugging of software applications.
• Conduct research on new AI technologies and techniques.
• Contribute to the creation of technical documentation and reports.
• Collaborate with senior developers and researchers on project tasks.
• Attend team meetings and contribute to discussions and problem-solving.
• Gain practical experience in version control systems (e.g., Git).
• Support the deployment and maintenance of AI models.

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python.
• Basic understanding of AI and Machine Learning concepts.
• Familiarity with ML libraries like scikit-learn, TensorFlow, or PyTorch is a plus.
• Good understanding of data structures and algorithms.
• Eagerness to learn and adapt to new technologies.
• Strong analytical and problem-solving abilities.
• Ability to work independently and manage time effectively in a remote environment.
• Good communication skills.
• Passion for AI and software development.

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)

• Assisting in the development and implementation of AI and machine learning models.
• Writing clean, efficient, and well-documented code in languages such as Python.
• Collaborating with senior developers on data preprocessing, feature engineering, and model training.
• Conducting experiments and evaluating the performance of different algorithms.
• Assisting in the deployment and integration of AI/ML solutions.
• Troubleshooting and debugging code and model issues.
• Participating in code reviews and team meetings.
• Learning and applying new AI/ML techniques and technologies.
• Documenting development processes and results.
• Contributing to a collaborative and innovative remote team environment.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong understanding of fundamental AI and machine learning concepts.
• Proficiency in Python programming.
• Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Basic knowledge of data structures and algorithms.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt in a fast-paced, remote environment.
• A passion for AI and its potential applications.

• 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.

• Design and implement cutting-edge sourcing strategies for AI/ML and data science talent.
• Identify and engage passive candidates through various online channels and networking.
• Conduct in-depth technical screening of candidates to assess skills and experience in AI/ML domains.
• Build and nurture strong talent pipelines for current and future hiring needs.
• Collaborate closely with Technical Recruiters and Hiring Managers to understand job requirements.
• Utilize Applicant Tracking Systems (ATS) and other recruitment technologies effectively.
• Stay abreast of emerging trends in AI/ML and the talent market.
• Represent the company and its clients professionally to potential candidates.
• Develop and maintain a deep understanding of the competitive landscape for AI/ML talent.
• Analyze sourcing metrics and provide insights for continuous improvement.

• Bachelor's degree in Computer Science, Engineering, Human Resources, or a related field.
• Minimum of 4 years of experience in technical sourcing, with a significant specialization in AI/ML and Data Science roles.
• Proven success in sourcing for highly niche technical positions (e.g., ML Engineers, Data Scientists, AI Researchers).
• Expertise in advanced Boolean search techniques, LinkedIn Recruiter, and other sourcing platforms.
• Strong understanding of AI/ML concepts, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, R).
• Excellent research, analytical, and communication skills.
• Ability to work independently, manage time effectively, and meet aggressive sourcing targets in a remote setting.
• Experience building and managing candidate pipelines.
• High level of attention to detail and organizational skills.

• Develop and execute comprehensive sourcing strategies to identify passive and active candidates for specialized AI/ML roles across engineering, research, and product.
• Conduct in-depth candidate screenings and interviews to assess technical skills, cultural fit, and motivation.
• Partner effectively with hiring managers to define role requirements, build interview processes, and provide market intelligence.
• Manage the full recruitment lifecycle from sourcing to offer negotiation and closing.
• Build and nurture strong relationships with candidates, ensuring an exceptional candidate experience throughout the process.
• Utilize a variety of sourcing tools and techniques, including LinkedIn Recruiter, advanced Boolean searches, and niche job boards.
• Contribute to employer branding initiatives to attract top technical talent.
• Track recruitment metrics and provide regular updates on pipeline status, key hires, and challenges.
• Stay informed about industry trends, competitor landscapes, and emerging technologies within the AI/ML space.
• Advise hiring teams on best practices in technical recruiting and candidate assessment.
• Champion diversity and inclusion in all hiring efforts.
• Participate in designing and improving recruitment processes and tools.
• Develop and maintain a strong network of AI/ML professionals.
• Organize and attend virtual recruitment events and career fairs.
• Manage recruitment for multiple requisitions simultaneously, prioritizing effectively.

• Proven experience (5+ years) in technical recruiting, with a significant focus on AI, Machine Learning, Data Science, or related fields.
• Demonstrated success in sourcing and hiring for highly specialized and niche technical roles.
• Expertise in using various recruitment technologies and ATS systems (e.g., Greenhouse, Lever, Workday).
• Strong understanding of AI/ML concepts, technologies, and the competitive talent landscape.
• Exceptional communication, negotiation, and interpersonal skills.
• Ability to build rapport and credibility with both technical candidates and senior leadership.
• Highly organized with excellent attention to detail and the ability to manage complex hiring processes.
• Self-motivated and able to thrive in a fully remote, fast-paced environment.
• Bachelor's degree in a relevant field or equivalent practical experience.
• Experience with diversity recruiting initiatives.
• A proactive and results-oriented approach to talent acquisition.
• Familiarity with software development lifecycles and agile methodologies is beneficial.