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Added 7 mins ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 7 mins ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 22 mins ago
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Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Cloud experience on Azure, AWS, or GCP, and familiarity with MLOps and deployment practices
Added 1 hour ago
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Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Familiarity with MLOps practices and model monitoring frameworks.
Added 1 hour ago
JI
Senior Data Scientist
J.D. Irving, Limited
Saint John, NB
- Full-time
Experience with cloud-based AI platforms, MLOps, Generative AI, LLMs, Agentic AI, Azure AI services, or enterprise-scale AI architecture is strongly preferred.
Added 1 hour ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Added 2 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 3 hours ago
Data Scientist
Upshop
Mississauga, ON
Databricks-Native MLOps: Build, schedule, and maintain automated training and batch inference pipelines using Databricks Workflows and Jobs. Leverage MLflow for robust experiment tracking,…
Added 3 hours ago
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Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
MLOps Developer / DevOps Infrastructure Engineer
Added 3 hours ago
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Artificial Intelligence Researcher
TEEMA
Toronto, ON
- $150,000 to $170,000 CAD / year
- Contract
Work closely with development and MLOps teams to move research into production
Added 4 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 4 hours ago
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AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
Define MLOps/LLMOps practices, including deployment pipelines, model and prompt versioning, observability, monitoring, drift detection, rollback strategies, and production readiness.
Added 5 hours ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
MLOps & Observability: Implement CI/CD for model updates and set up AI observability/eval frameworks (eg. RAGAS, Vertex Eval) to detect and prevent hallucinations.
Added 5 hours ago
CS
GEN AI Specialist
Cynet Systems
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Added 5 hours ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps
Added 5 hours ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Added 5 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Understanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data,…
Added 6 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Understanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data,…
Added 6 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Understanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data,…
Added 6 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and…
Added 6 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experience implementing and operationalizing MLOps/LLMOps capabilities, including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and…
Added 6 hours ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Python/Pyspark + Claude + SQL + APIs + Data & MLOps
Added 6 hours ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
AI infrastructure: MLOps, generative AI, GPUs, APIs, databases, or cloud data platforms.
Added 7 hours ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys…
Added 7 hours ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys…

TEEMA

Machine Learning Engineer

Toronto, ON, Canada

$115,000 to $120,000 CAD / year · Full-time

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Job details

Pay: $115,000 to $120,000 CAD / year
Job type: Full-time
Apply by: Nov 8, 2026
Experience: 5+ years of DevOps / Infrastructure Engineering experience
Posting language: English
Posted: Oct 9, 2026

Original job description

MLOps Developer / DevOps Infrastructure Engineer

Location: Toronto, ON – Hybrid, minimum 2 days onsite per week, with the possibility of 3 days

Employment Type: Permanent, Full-Time

Salary: $115,000–$120,000

We are looking for an experienced MLOps / DevOps Infrastructure Engineer with strong cloud, automation and software delivery experience. This role combines hands-on AWS/GCP infrastructure, CI/CD and DevOps with exposure to AI/ML technologies and modern AI development tools.

What You’ll Do

Own and improve CI/CD, build and deployment pipelines
Administer and automate AWS and GCP cloud environments
Build and manage infrastructure using Infrastructure as Code
Work closely with software developers on deployments and production releases
Automate infrastructure, operational processes and development workflows
Manage cloud networking, including VPCs, subnets, load balancers, WAF and DNS
Support IAM, secrets management and least-privilege security
Monitor and improve the availability and performance of production applications
Participate in code reviews, testing and Agile delivery
Evaluate and implement new technologies, including AI tools and agents
Mentor junior team members and promote DevOps best practices

What We’re Looking For

5+ years of DevOps / Infrastructure Engineering experience
5+ years working with AWS and/or GCP
Strong Linux/UNIX administration
Strong Infrastructure as Code experience
Hands-on CI/CD experience with tools such as Jenkins or GCP Cloud Build
Strong cloud networking knowledge
Experience with IAM, secrets management and cloud security
Experience with monitoring tools such as AWS CloudWatch or GCP Monitoring
Strong scripting skills with Python and/or Bash
Experience with GitHub, SonarQube or similar development lifecycle tools
Experience working closely with software development teams
Understanding of security and compliance best practices
Experience with modern AI development tools such as Copilot, Claude Code or similar
Bachelor's degree in Software Engineering or a related technical field

Nice to Have

Experience with security tools such as GuardDuty, AWS Config, CrowdStrike or Tanium
Exposure to MLOps, AI/ML infrastructure, model deployment or ML pipelines
Knowledge of Generative AI, Transformers or Vision-Language Models (VLMs)

This is a great opportunity for someone who enjoys automation, cloud infrastructure, DevOps and AI/ML technologies and wants to work closely with development teams in a collaborative environment.

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More about this job

Responsibilities

Own and improve CI/CD pipelines, automate and administer AWS and GCP infrastructure, and support secure, reliable production deployments. Collaborate with development teams on releases, monitoring, code reviews, and Agile delivery while evaluating AI tools and mentoring junior team members.

Requirements

Requires 5+ years of DevOps or infrastructure engineering experience, strong AWS and/or GCP expertise, Linux administration, Infrastructure as Code, CI/CD, cloud networking, security, monitoring, and Python and/or Bash scripting. Candidates should also have experience working with software development teams and modern AI development tools; a bachelor's degree in Software Engineering or a related technical field is listed.

Skills

AWS
GCP
Linux/UNIX Administration
Infrastructure as Code
CI/CD
Cloud Networking
IAM
Secrets Management
Cloud Security
Monitoring
Python
Bash
GitHub
SonarQube
MLOps
AI/ML Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

MLOps
DevOps
AWS
GCP
CI/CD
Jenkins
GCP Cloud Build
Infrastructure as Code
Linux
UNIX
Cloud Networking
VPC
Subnets
Load Balancers
WAF
DNS
IAM
Secrets Management
Cloud Security
AWS CloudWatch
GCP Monitoring
Python
Bash
GitHub
SonarQube
Copilot
Claude Code
GuardDuty
AWS Config
CrowdStrike

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