Skip to main content
TryApplyNow
AceStack logo

AWS ML engineer_Toronto, ON_Onsite _Full time Permanent

AceStack
Full Timemid
Toronto, Ontario, CAPosted 6 weeks ago

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

AWSAgileDevOps

Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score

Job Description

AWS ML engineer

Toronto, ON

Total Experience: 6-8 years

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

About AceStack

AceStack logo

AceStack

ace-stack.com

DevopsOn-site

AI-powered job search

Get every job scored to your resume

Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.

Get Started Free

No credit card to start