Building a career with Datonomy allows you to work on projects that interest you, and with the tech stack that appeals to you most. Diverse teams comprising a variety of cultures, ages and backgrounds are proven to be more effective - this also ensures that teams don't become rigid and change-averse.
Datonomy invites you to embrace the future of work. Consulting gives you the flexibility to co-create your career with clients who rely on your unique skillset. The beauty of the model is that you can choose the length of your engagement with each client - you may want to spend a year or two rolling out a major programme, or just a few months designing a product feature.
At Datonomy, we want to collaborate with you to achieve your goals, personally and professionally, and that is why we want like-minded people to join our growing team.
The Machine Learning Engineer is primarily responsible for building end-to-end machine learning models from ideation to deployment and scalability. S/he creates new and improved data driven solutions to assist the Group in answering business questions, gaining competitive advantage, identifying new market opportunities, increasing efficiencies and/or reducing costs.
4 years’ experience / NQF 7
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