Job Description
Primary Skills AWS ML Engineer: SageMaker, Glue, S3, and Lambda
Design, build, and deploy ML models and pipelines on AWS
Responsibilities
Develop end-to-end ML workflows using SageMaker, Glue, S3, and Lambda
Build data preprocessing, training, inference, and monitoring pipelines
Integrate ML models with applications using APIs and cloud services, optimize model performance, scalability, and cost on AWS infrastructure
Collaborate with data scientists, data engineers, and DevOps teams in Agile delivery
#J-18808-Ljbffr
Design, build, and deploy ML models and pipelines on AWS
Responsibilities
Develop end-to-end ML workflows using SageMaker, Glue, S3, and Lambda
Build data preprocessing, training, inference, and monitoring pipelines
Integrate ML models with applications using APIs and cloud services, optimize model performance, scalability, and cost on AWS infrastructure
Collaborate with data scientists, data engineers, and DevOps teams in Agile delivery
#J-18808-Ljbffr
Apply for This Position
Ready to take the next step? Click the button below to submit your application.
Submit Application