Machine Learning Engineer

Job description

Our client is a multi-brand retailer based in Montreal, Canada specializing in the sale of designer fashion and high-end streetwear. It was founded as an e-commerce platform in 2003.


  • Solid experience with SageMaker Studio and all features it provides (Sagemaker Pipelines)
  • Ability to create and adjust SageMaker pipelines for the end-to-end ML development cycle
  • Experience with deploying model inference with Sagemaker endpoints and other serverless computing (such as Lambda)
  • Experience with transferring projects from on-premise to SageMaker
  • Ability to understand machine learning development and deployment processes
  • Good knowledge of how to deploy model inference with CodePipeline


  • Collaborate with client to understand their current machine learning development environment setup
  • Provide guidance and best practices to client on how to effectively and securely setup SageMaker Studio domain
  • Design, implement and manage AWS infrastructure for the ML environment, including VPCs, subnets, security groups, and other AWS resources
  • Work with clients to configure AWS IAM roles, policies, and permissions to ensure secure access to AWS resources and data
  • Identify opportunities for optimization and cost reduction in the AWS infrastructure and SageMaker Studio environments
  • Create reusable project templates to create the infrastructure for MLOps solution for CI/CD of ML models
  • Conduct workshops for client on how to use SageMaker Studio features effectively

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

Similar jobs

Browse All Jobs
Epidemic Sound
June 2, 2023

Senior Machine Learning Engineer

Voi Technology
June 2, 2023

Senior Machine Learning Engineer