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Added 2 months ago
JG
DataOps/Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Experience with Cloud data engineer must be familiar and experienced with different programming languages (Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS. Microsoft Fabric) and be able…
Added 2 months ago
SS
Senior Java Software Engineer
Soho Square Solutions
Montreal, QC
- Contract
Experience with AI coding assistants like copilot, using Agent mode, Skills, etc for software development, automation, reporting, or analytics.
Added 2 months ago
Analyst, Project Management
Opta Group
Burlington, ON
SUSTAINABILITY: We engineer solutions with efficiency, responsibility, and sustainability as our foundation, optimizing performance today, while strengthening the resilience of tomorrow's…
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…
Added 2 months ago
F
Product Engineer - Marketplace
Firecrawl
Toronto, Ontario
- Full-time
…is the role. Past that, the bar is the same as any product engineer here: a very good engineer with real product sense who owns what they ship. You'll ship real product from day one, not…
Added 1 month ago
F
Product Engineer - Agent
Firecrawl
Toronto, Ontario
- Full-time
A strong backend engineer who's indifferent to how the product feels to use
Added 1 month ago
A
Senior Software Developer
AssistIQ
Remote, Canada
- Full-time
- Remote
We are looking for an engineer who embraces modern AI tools as a core part of their development workflow. You should be someone who actively uses AI to accelerate software development,…
Added 2 months ago
SJ
Software Engineer, Applied AI
St. Joseph Communications
Toronto, ON
- $110,000 to $130,000 CAD / year
SJC Media is building the AI layer for its Digital Operations. As the founding Software Engineer, Applied AI, you own that layer end-to-end: from agentic workflows, CRM integrations,…
Added 2 months ago
C
AI Engineer
Cambio
Kitchener, ON
- Full-time
We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.
Added 2 months ago
K
AI/ML Engineer - Agentic AI Systems
Kaseya
Toronto, ON
- $160,000 to $240,000 CAD / year
- Full-time
Experience with ClickHouse or another columnar data store used for analytics workloads
Added 2 months ago
JG
Test Automation Engineer (Playwright, API & AI Automation)
J&M Group
Toronto, ON
- Contract
We are hiring for a Test Automation Engineer (Playwright, API & AI Automation). The role focuses on end-to-end UI and API test automation using Playwright, JavaScript/TypeScript, Python,…
Added 2 months ago
K
Platform Backend Engineer - Go/Rust & Distributed Systems
Kaseya
Toronto, ON
- $160,000 to $240,000 CAD / year
- Full-time
Platform Backend Engineer - Go/Rust & Distributed Systems
Added 2 months ago
L
Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
- Full-time
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of…
Added 5 months ago
PS
Senior Data Engineer
Pacific Smoke International Inc
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
We are looking for a highly motivated and experienced Senior Data Engineer to join our growing Data & Technology team. This role will be responsible for designing, building, and scaling…
Added 2 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
Prior experience in a Solutions Architect or Solutions Engineer role at a B2B infrastructure or platform company
Added 2 months ago
FG
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
- Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 2 months ago
M
Technical Architect
Mphasis
Toronto, ON
- Full-time
POSITION / TITLE: MLOps Engineer (Cloud Engineer + DevOps)
Added 2 months ago
PF
Ingénieur·e principal·e en implantation | Senior Implementation Engineer
Power Factors
Brossard, QC
- Full-time
Added 1 month ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
Added 1 month ago
W
Senior Software Development Engineer - Mobile
Wagepoint
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
We're looking for a talented Senior Software Development Engineer - Mobile who enjoys tackling hard problems and wants to create meaningful impact for small businesses across Canada. As a…
Added 1 month ago
R
DataOps Engineer
RPIA
Toronto, ON
- Full-time
As a DataOps Engineer, you will design, build, automate, and operate the firm's modern cloud data platform. You will be responsible for delivering secure, scalable, and reliable data…
Added 1 month ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior,…
Added 2 months ago
C
IT Cost Management Specialist
CPKC
Calgary, AB
- Full-time
Becoming a qualified conductor or locomotive engineer is the single best way for a management employee to learn the business at CPKC. You may be required to obtain a certification or to…
Added 2 months ago
A
FrontEnd CMA (CAD) Engineer
Arm
Toronto, ON
- Full-time
Join the Chip Methodology & Automation (CMA) team within Arm's Solutions Engineering organization. As a FrontEnd CMA Engineer, you will define, develop, and deploy scalable methodologies,…
Added 2 months ago
SQ
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
SuperQ is looking for an AI Engineer specializing in GPU and LLM optimization to maximize the performance, scale, and efficiency of the models powering our multi-agent architecture. You…

Mphasis

Technical Architect

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Jul 31, 2026

Original job description

POSITION / TITLE: MLOps Engineer (Cloud Engineer + DevOps)

Location: Canada

Job Overview

We are looking for an experienced MLOPs / LLMOPs Engineer with a strong background in deploying and monitoring machine learning and large language model (LLM) pipelines. The ideal candidate will have 10+ years of experience in MLOPs, with expertise in setting up end-to-end ML/LLM pipelines using open-source tools and cloud-native solutions on platforms like AWS, GCP, and Azure. This role requires hands-on knowledge in deploying, automating, and monitoring ML/LLM workflows, with a solid grounding in DevOps practices to ensure seamless CI/CD processes.

Responsibilities

Pipeline Design & Implementation:
- Design, build, and manage MLOPs and LLMOPs pipelines for data ingestion, model training, validation, deployment, and monitoring.
- Use open-source tools such as Mlflow, Kubeflow, DVC, and Airflow to automate and monitor machine learning workflows.
- Implement scalable LLM-specific solutions for model training and inference, optimizing resource allocation and deployment efficiency.
Cloud-native MLOPs Implementation:
- Set up and manage MLOPs pipelines in Primary in GCP (SageMaker, EKS, Lambda, S3), or have similar experience with GCP (Vertex AI, AI Platform Pipelines), and Azure (Machine Learning, AKS, Azure Functions).
- Manage model versioning, retraining, and deployment workflows on cloud platforms to ensure consistent performance and availability.
- Execute CI/CD pipelines for ML models with GitHub Actions, Jenkins, or GitLab CI.
Model Monitoring & Performance Optimization:
- Monitor models in production using Prometheus, Grafana, and Tensorboard, establishing observability metrics for model drift, accuracy, and latency.
- Collaborate with Data Engineering and ML teams to implement scalable and efficient pipelines
- Use A/B testing and shadow deployment strategies to validate and optimize LLM model performance in real-time.
LLM-specific Model Operations:
- Deploy and monitor LLMs for specific tasks, ensuring they adhere to performance SLAs and are optimized for cost.
- Understand techniques of fine-tuning, optimizing inference, and managing infrastructure costs for large LLMs.

Required Skills And Qualifications

Technical Skills – Good to have:

Proficiency with Kubernetes and Docker for container orchestration and model deployment.
Experience with open-source MLOPs tools (Mlflow, Kubeflow, DVC) and data versioning.
Hands-on experience with cloud-native ML tools in AWS, GCP, or Azure and associated ML services.
Knowledge of Python or Bash scripting for automating processes and custom integrations.

DevOps-Related Skills

Solid understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or GitLab CI/CD to build and deploy ML/LLM models.
Proficient in infrastructure-as-code tools, such as Terraform or Ansible, to enable automated provisioning and configuration management.

Programming & Scripting

Python
SQL, No-SQL, PySpark (Optional)

AI/ML & Data Science - Good To Have

Supervised, Unsupervised Learning & Model evaluation metrics
NLP, RAG, GenAI, LLMs
Deep Learning (Sequential & Functional APIs) using Pytorch/TensorFlow
MLOPs & Mlflow Experiment Tracking
Explainable AI (XAI) LIME SHAP(Optional)

Cloud Platforms

(Primary: AWS) or Handons Expertise on any of cloud platforms
Azure AI/ML,
Google Vertex AI,
Databricks Studio

Education

Bachelors/ Master’s/PhD Degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Data Science, or a related relevant degree from quantitative field.

Process Skills

Understanding of Agile and Scrum methodologies.
Ability to follow SDLC processes and contribute to technical documentation.

Behavioral Skills

Must have Structural thinking and goal-oriented approach to problem-solving
Self-motivated and capable of working independently with minimal management supervision.
Well-developed design, analytical & problem-solving skills
Excellent communication and interpersonal skills.
Excellent team player, able to work with virtual teams in several time zones.

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More about this job

Responsibilities

Design and manage end-to-end ML and LLM pipelines for data ingestion, training, and deployment using cloud-native solutions. Monitor production models for drift and performance while implementing CI/CD processes to ensure seamless delivery.

Requirements

Requires over 10 years of experience in MLOps with proficiency in cloud platforms and container orchestration. A degree in a quantitative field such as Computer Science or Mathematics is required.

Skills

MLOps
LLMOps
AWS
GCP
Azure
Kubernetes
Docker
Mlflow
Kubeflow
CI/CD
Terraform
Python
PyTorch
TensorFlow
GenAI
RAG

Visa sponsorship

Not detected in the job text

Keywords

MLOps
LLMOps
AWS
GCP
Azure
Vertex AI
SageMaker
Kubernetes
Docker
Mlflow
Kubeflow
DVC
Airflow
CI/CD
GitHub Actions
Jenkins
GitLab CI
Terraform
Ansible
Python
SQL
PySpark
PyTorch
TensorFlow
GenAI
RAG
NLP
Prometheus
Grafana
Agile

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