Join Anicalls as an AWS SageMaker ML Engineer and dive into the world of machine learning. You'll design and support innovative solutions using Amazon SageMaker, making a real impact in the field.
As an AWS SageMaker ML Engineer at Anicalls, you'll be at the forefront of developing machine learning solutions. Your primary responsibility will be to design, build, and support these solutions using Amazon SageMaker. This role is perfect for someone who is eager to work with cutting-edge technology and contribute to impactful projects in the machine learning space.
In your day-to-day work, you will engage in tasks such as model training, deployment, monitoring, and lifecycle management. You will collaborate closely with other engineers and data scientists to ensure that the machine learning models are robust and effective. Your hands-on experience with AWS cloud services will be crucial in this role, as you will be leveraging these tools to deliver high-quality solutions.
Key responsibilities include: • Designing and building machine learning models using Amazon SageMaker • Supporting the deployment and monitoring of these models • Ensuring adherence to cloud security best practices
To thrive in this position, you should have at least 1-2 years of relevant experience in machine learning engineering or related technologies. Familiarity with AWS IAM and cloud security practices will be advantageous. If you are passionate about machine learning and eager to grow your skills in a supportive environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.