AWS ML Engineer__Toronto, ON (Hybrid)__Contract

AceStack
Toronto, CA; US
Hybrid

Job Description

Role - AWS ML Engineer

Location - Toronto, ON (Hybrid)

Experience - 8+

Type - Contract

Required Skill Sets

  • Design, build, and deploy ML models and pipelines on AWS
  • Develop end to end ML workflows using Sage Maker, 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

Skills & Requirements

Technical Skills

Design, build, and deploy ml models and pipelines on awsDevelop end to end ml workflows using sage maker, glue, s3, and lambdaBuild data preprocessing, training, inference, and monitoring pipelinesIntegrate ml models with applications using apis and cloud servicesOptimize model performance, scalability, and cost on aws infrastructureCollaborate with data scientists, data engineers, and devops teams in agile delivery

Employment Type

CONTRACT

Level

senior

Posted

4/23/2026

Apply Now

You will be redirected to AceStack's application portal.