Machine Learning Architect

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  • Job type

    Contract

  • Location

    Remote in Canada

  • Profession

    Cloud

  • Industry

    Technology & Internet Services

  • Pay

    Based on experience
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Must have experience with ML concepts: feature engineering, hyperparameter tuning, optimization strategies

Machine Learning Architect
Client: IT Consulting
Role: Machine Learning Architect
Job Type: Contract (3+ months), may extend or convert to perm
Location: Remote (Canada)

Your New Company
Our client is a cloud-native services company helping organizations maximize their AWS investments. We specialize in workload migrations, cloud-native development, DevOps, data engineering, and security. As a fully remote company, we foster a culture of curiosity, collaboration, and continuous learning.

Your New Role
As a Machine Learning Architect, you will be a key member of the Cloud Data Engineering team, responsible for designing and delivering ML solutions on AWS. You’ll have deep expertise in ML system design and passion to collaborate with engineers, project managers, and customers to build scalable, production-grade ML systems using the latest technologies. This role combines technical leadership, hands-on development, and customer engagement.

Responsibilities:
  • Lead architecture discussions, requirements gathering, and backlog grooming.
  • Translate customer requirements into actionable engineering tasks.
  • Guide Agile ceremonies such as stand-ups and retrospectives.
  • Design and implement DevOps pipelines including CI/CD, IaC, monitoring, and security.
  • Write production-quality code with unit and integration tests.
  • Automate software testing across multiple levels and monitor results.
  • Troubleshoot and resolve issues in dev, test, and production environments.
  • Deliver cloud-native applications on AWS using ML tools and frameworks.
  • Document designs, processes, and procedures clearly.
  • Mentor and coach junior engineers while staying current with emerging technologies.

What You’ll Need:
Core Consulting Qualifications
Customer Experience
•Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
•Focus on delivering clear, actionable solutions that meet client goals
Collaboration
•Facilitates alignment across stakeholders or technical priorities and deliverables.
•Navigates differing perspectives with professionalism to ensure shared understanding and progress.
Communication
•Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
•Adapts communication style based on audience and context to improve clarity and decision-making.
Technical Qualifications
  • Strong experience in ML system design and architecture.
  • Expert-level knowledge of Amazon SageMaker and ML libraries (TensorFlow, PyTorch, Scikit-learn, MXNet).
  • Deep understanding of ML concepts: feature engineering, hyperparameter tuning, optimization.
  • Experience with MLOps tools (MLflow, Neptune, Comet).
  • Proficiency in Infrastructure as Code (Terraform, CloudFormation, CDK).
  • Familiarity with DevOps practices, CI/CD, and cloud-native development.
  • Excellent communication skills with the ability to explain complex concepts to non-technical audiences.
  • Strong collaboration and consulting skills to align stakeholders and drive outcomes.
What You’ll get in Return
The client is contract opportunity with possibility of extension or conversion to perm.

Interested?
If you’re available and interested in this role, please reply to Shivangi.gupta@hays.com as soon as you can attaching your updated resume.

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Talk to Shivangi Gupta, the specialist consultant managing this position

Located in Toronto (EN), 8 King Street East, 20th FloorTelephone:  6472889184