Join Anicalls as an AWS SageMaker ML Engineer and dive into the world of machine learning. You'll design and build solutions that leverage Amazon SageMaker, ensuring models are effectively trained and deployed.
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 utilize Amazon SageMaker. Your work will involve not just creating models but also ensuring they are effectively deployed and monitored throughout their lifecycle.
Your daily tasks will include developing machine learning models and implementing security measures through Identity and Access Management (IAM) policies. You will work closely with other team members to manage the lifecycle of machine learning models, ensuring they meet the necessary standards and requirements.
This position is ideal for someone with 1-2 years of hands-on experience in machine learning engineering and AWS services. If you are passionate about machine learning and eager to work in a supportive and innovative environment, this role could be a great fit for you.
Key responsibilities include: • Designing and deploying machine learning models using Amazon SageMaker • Implementing IAM policies to secure resources • Managing the lifecycle of machine learning models
To succeed in this role, you should have a solid understanding of AWS cloud services and machine learning engineering principles. If you are ready to take your career to the next level and work with cutting-edge technology, apply today!
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