Software Development Engineer II, SageMaker AI Inference

About this kind of role

What a Software Development Engineer II, SageMaker AI Inference usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and debugs software solutions, often focusing on machine learning inference pipelines. This role involves implementing and optimizing algorithms for deployment, ensuring efficient and scalable performance. Responsibilities may include working with cloud platforms to build and maintain machine learning models in production. Collaboration with data scientists and other engineers is common to integrate models into larger systems.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud services like AWS Sagemaker are generally required.

Good fit for: Individuals with a strong foundation in computer science and a passion for machine learning, who enjoy problem-solving and building robust, scalable systems, are likely to thrive in this role.