Talent.com

Machine learning engineer Jobs in Toronto, ON

Last updated: 17 days ago
  • Promoted
Machine Learning Engineer

Machine Learning Engineer

freelance.caToronto, Canada
Show moreLast updated: 24 days ago
Machine Learning Engineer / Sr. Machine Learning Engineer

Machine Learning Engineer / Sr. Machine Learning Engineer

Top Funnel TalentToronto, ON, CA
Show moreLast updated: 30+ days ago
  • Promoted
Pre-Sales Engineer Machine Learning

Pre-Sales Engineer Machine Learning

MULTIVERSE COMPUTINGToronto, Ontario, Canada
Show moreLast updated: 30+ days ago
Machine Learning Engineer

Machine Learning Engineer

Wisedocs AIToronto, ON, CA
Full-time
Quick Apply
Show moreLast updated: 24 days ago
  • Promoted
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Parent OrganizationToronto, Ontario, Canada
Remote
Show moreLast updated: 20 days ago
Manager, Machine Learning - Search

Manager, Machine Learning - Search

Loblaw DigitalToronto, Canada
CA$161,100.00–CA$305,700.00 yearly
Show moreLast updated: 30+ days ago
Engagement Manager

Engagement Manager

ValenceToronto, ON
Full-time
Show moreLast updated: 17 days ago
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Tali AIToronto, ON, CA
Full-time
Quick Apply
Show moreLast updated: 30+ days ago
Machine Learning Engineer

Machine Learning Engineer

ProNavigatorToronto, Ontario, Canada
Full-time
Show moreLast updated: 23 days ago
  • Promoted
Machine Learning Engineer

Machine Learning Engineer

NearSourceToronto, Ontario, Canada
CA$142,000.00 yearly
Show moreLast updated: 30+ days ago
Machine Learning Engineer

Machine Learning Engineer

ManulifeToronto, Ontario
CA$149,200.00–CA$207,300.00 yearly
Full-time
Show moreLast updated: 30+ days ago
Machine Learning Engineer

Machine Learning Engineer

freelance.caToronto, Canada
24 days ago
Job description

We are hiring for the position of " AI / ML Developer" and are looking for talented individuals who are passionate about this field. If you have experience, we would love to hear from you. Job Title : AI / ML Developer  Duration : Contract  Location : Hybrid in Toronto, ON Job Description : Roles and Responsibilities :

  • Passionate about deep learning and natural language models? AIOps / ML Ops mindset enabling services and developing pipelines for managing training models and production models.
  • Collaborate with internal application development teams to leverage AI / ML services to solve business objectives
  • Understand security, risks and mitigations to load data and training models securely into Cloud
  • Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
  • Write and use Azure RM and Terraform templates? Understand Azure security features (data protection, authentication, RBAC, etc)
  • Understanding of Public Key Infrastructure (PKI), handling public key and private key certificates in Azure environment for Pass services and applications
  • Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, routing
  • Proficiency in cloud automation using native Azure CLI
  • Understand concepts related to deploying platform and data analytics via CI / CD pipeline
  • Ensure that all cloud solutions follow internally defined security and compliance controls
  • Develop / Consume APIs, SDKs and Webhook for multi-directional integration of cloud orchestration platform with enterprise systems, DevOps Tools and cloud platforms
  • Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes
  • A critical thinker with strong research and analytics skills
  • Self-motivated with a positive attitude and an ability to work independently and in a team Required Skills : 2+ years AI and ML platform engineer
  • 2+ years of experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
  • Strong expertise with delivering Cloud Infrastructure as Code (IAC) leveraging CI / CD pipelines, Terraform and Git Actions.
  • Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
  • Must be a self-starter, demonstrated ability to take independent action to achieve results.
  • Highly developed critical thinking, analytical and problem-solving skills

Competencies : Azure Machine Learning (ML)