As a Senior Machine Learning Engineer at Datonomy Solutions, you'll leverage your expertise to design and deploy advanced AI solutions. This role is perfect for someone who thrives in a collaborative environment and has a strong foundation in software engineering and machine learning.
Datonomy Solutions is looking for a Senior Machine Learning Engineer to join their team in Sandton. In this role, you will be responsible for designing, building, and deploying enterprise-scale machine learning and AI solutions. Your work will focus on the productionisation and operationalisation of various AI applications, including machine learning models and generative AI solutions. You will collaborate closely with other team members to ensure that these solutions are effective and scalable.
Your daily responsibilities will include working with tools and platforms such as Databricks, Azure Kubernetes Service, and Docker. You will also be involved in MLOps practices to streamline the deployment and management of machine learning models. This role requires a strong software engineering background, as well as practical experience in machine learning and cloud infrastructure.
The ideal candidate for this position will have at least five years of experience in machine learning engineering or a related field. You should be comfortable working in a fast-paced environment and have a passion for developing innovative AI solutions. If you enjoy tackling complex problems and have a strong technical foundation, this role could be a great fit for you.
Key requirements for this position include expertise in machine learning, software engineering skills, and familiarity with cloud technologies. Experience with generative AI and related applications is a plus, but not mandatory. If you are ready to take your career to the next level and work on cutting-edge AI projects, we encourage you to apply.
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