Join Anicalls as an AWS SageMaker ML Engineer to work on innovative machine learning solutions. You'll be responsible for the full lifecycle of model management, ensuring best practices are followed.
Anicalls is looking for an AWS SageMaker ML Engineer to help design and implement machine learning solutions. In this role, you'll work primarily with Amazon SageMaker, focusing on model training, deployment, and monitoring. Your expertise will be crucial in ensuring that machine learning models are not only effective but also well-governed throughout their lifecycle.
Your day-to-day responsibilities will include building and supporting machine learning models, implementing MLOps best practices, and creating CI/CD pipelines. You'll also be involved in model governance processes to ensure compliance and efficiency. This position is ideal for someone who enjoys working with cutting-edge technology and is passionate about machine learning.
Key requirements for this role include a strong understanding of AWS SageMaker and experience with MLOps practices. Familiarity with CI/CD pipelines and model governance will also be essential. If you thrive in a fast-paced environment and are eager to contribute to innovative projects, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.