As a Senior Machine Learning Engineer at Datonomy Solutions, you'll be at the forefront of developing AI and Generative AI solutions. This role is ideal for someone with a strong software engineering background and practical experience in machine learning and cloud environments.
Datonomy Solutions is looking for a Senior Machine Learning Engineer to join their team in Sandton. In this role, you will work closely with Data Scientists, Cloud Engineers, and various platform teams to design and implement enterprise-scale machine learning solutions. Your expertise in machine learning and cloud infrastructure will be crucial as you help build and deploy AI and Generative AI applications that meet the needs of the business.
Your day-to-day responsibilities will include collaborating with cross-functional teams to ensure that all solutions align with enterprise architecture and security standards. You will be involved in the entire lifecycle of machine learning projects, from design and development to deployment and support. This position requires a strong foundation in software engineering, as well as hands-on experience with MLOps practices.
Key responsibilities include: • Designing and building machine learning models and AI solutions • Partnering with cloud and infrastructure teams to ensure compliance with security standards • Supporting the deployment and maintenance of machine learning systems • Collaborating with stakeholders to understand business needs and translate them into technical requirements
The ideal candidate will have at least five years of experience in machine learning and cloud environments, with a strong focus on software engineering. If you are passionate about AI and enjoy working in a collaborative environment, this role could be a great fit for you. Join Datonomy Solutions and contribute to innovative projects that leverage the latest in AI technology.
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