As an AWS SageMaker ML Engineer, you'll design and implement machine learning models using Amazon's powerful tools. This role is ideal for those with hands-on experience in AWS and a passion for machine learning.
Anicalls is looking for an AWS SageMaker ML Engineer to join their team in Johannesburg. In this role, you will be responsible for designing, building, and supporting machine learning solutions that leverage Amazon SageMaker. Your work will involve model training, deployment, monitoring, and lifecycle management, ensuring that the solutions you create are efficient and effective.
On a day-to-day basis, you will work closely with other engineers and data scientists to develop machine learning models. You will also implement security measures through Identity and Access Management (IAM) policies to protect machine learning resources and workflows. Your familiarity with the machine learning model lifecycle will be crucial in ensuring that models are maintained and updated as needed.
This position is best suited for individuals with at least 1-2 years of hands-on experience in AWS and machine learning engineering. You should be comfortable working with cloud services and have a solid understanding of how to deploy and manage machine learning models effectively. Strong problem-solving skills and a proactive approach to challenges are essential for success in this role.
If you are passionate about machine learning and eager to work in an innovative, tech-focused environment, this role could be a great fit for you. Join Anicalls and contribute to exciting projects that push the boundaries of technology.
You'll be taken to the original listing on PNet to apply.