Machine Learning Engineer - ProServe Delivery
@ Amazon Web Services (AWS)

Toronto, ON
$133,000
On Site
Full Time
Posted 1 day ago

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Job Details

Overview

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? At Amazon Web Services (AWS), as a Machine Learning Engineer - ProServe Delivery, you will play a key role in designing, implementing, and managing AI/ML and Generative AI (GenAI) solutions for some of the world’s largest enterprises.

Role Responsibilities

This role involves working closely with customers to:

  • Implement end-to-end AI/ML and GenAI projects from requirements gathering to deployment and monitoring.
  • Design and implement scalable, secure ML pipelines and MLOps solutions using AWS services.
  • Collaborate with cross-functional teams such as Applied Science, DevOps, Data Engineering, and Cloud Infrastructure.
  • Provide strategic advice on cloud architectures, emerging technologies, and industry best practices.
  • Share knowledge through mentoring, training, and developing reusable artifacts.

Team and Culture

You will join the global AWS Professional Services team that helps organizations achieve their enterprise cloud adoption goals. AWS values diverse experiences, a culture of inclusion, and provides ongoing professional development along with work/life balance.

Basic and Preferred Qualifications

Applicants should have over 5 years of experience in cloud architecture and machine learning engineering, with expertise in distributed computing, AWS services, and programming languages such as SQL, Python, and one other language (Java, Scala, JavaScript, or TypeScript). Familiarity with frameworks like TensorFlow and PyTorch is essential. Bilingual proficiency in French and English is required if located in Quebec. Preferred qualifications include AWS certifications, automation skills, and experience with MLOps tools and generative AI technologies.

Additional Information

This is a customer-facing role with potential travel to client sites. The base salary ranges from $99,900 to $166,900 per year along with additional compensation such as equity and sign-on bonuses.

Key skills/competency

  • AWS
  • Machine Learning
  • Artificial Intelligence
  • MLOps
  • GenAI
  • Cloud Architecture
  • Data Engineering
  • Python
  • TensorFlow
  • Cross-functional Collaboration
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How to Get Hired at Amazon Web Services (AWS)

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to AWS cloud requirements.
  • Highlight AWS experience: Emphasize relevant certifications and projects.
  • Proofread application: Ensure clarity and keyword optimization.
  • Prepare for interviews: Review distributed computing and MLOps scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review AWS service documentation and case studies.
Practice coding in Python and SQL.
Build sample ML pipelines using TensorFlow.
Study distributed training and MLOps architectures.

Behavioral Questions

Describe a challenging client project experience.
Explain teamwork in cross-functional settings.
Discuss handling tight project deadlines.
Share experiences of learning new technologies.

Frequently Asked Questions