What we do

David Kariuki is a technology company that focuses on engineering innovative solutions through machine learning and its related disciplines. We are dedicated to creating cutting-edge software and services within the Information Technology sector, particularly in Internet Software & Services.

Why Work For Us

At David Kariuki, we are committed to fostering an environment where creativity, innovation, and technical expertise can thrive. We offer the opportunity to work on exciting projects in fields such as Computer Science, Information Technology & Services, Machine Learning, Artificial Intelligence, Data & Analytics, and Software Development. We believe in the power of technology to make a difference and are looking for like-minded individuals to join our team.

Our Culture

Our culture is centered around academic research, education, and innovation in the field of technology. We promote a collaborative environment that values continuous learning, technological exploration, and the sharing of ideas. Our team is driven by a passion for technology and a commitment to creating solutions that make a positive impact.

Our Engineering Processes

Our engineering processes are rooted in best practices for software development, machine learning, and data analytics. We leverage cutting-edge technologies, such as Sentry and Wix, to monitor our systems and ensure the delivery of high-quality software solutions. We are committed to continuous improvement and regularly review and refine our processes to stay at the forefront of technological advancements.

Our Hiring Processes

Our hiring processes are designed to identify candidates who share our passion for technology and innovation. We value diversity and believe that a variety of perspectives contributes to our success. We assess candidates based on their technical skills, creativity, and ability to collaborate effectively within our team. We look forward to welcoming new members who will contribute to our mission of engineering useful solutions through machine learning and related disciplines.