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Added 2 days 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 days ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 3 days ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
AWS SageMaker (Model Development, Training, Deployment, Monitoring) AWS SageMaker Feature Store and Feature Engineering MLOps and Python Development
Added 4 days ago
AI
AWS SageMaker/MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
Detailed Job Description: We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying,…
Added 4 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3)
Added 5 days ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Our client is running a modern data platform built on AWS and actively moving through a major Databricks implementation. The core objective is transforming data into actionable business…
Added 9 days ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique…
Added 11 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Montreal, QC
- Full-time
Pour mener à bien ces missions, vous utiliserez un large éventail d'outils informatiques, incluant les services AWS (tels qu'Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git et…
Added 11 days ago
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon
Montreal, QC
Pour mener à bien ces missions, vous utiliserez un large éventail d'outils informatiques, incluant les services AWS (tels qu'Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git et…
Added 12 days ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 17 days ago
UR
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that
Added 19 days ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 19 days ago
L
Senior Manager - Program & Project Management
LTM
ON · Ontario, Canada
- $81,215 to $133,000 USD / year
- Full-time
We are seeking a strategic and execution focused Senior Technical Program Manager to lead our AIML initiatives You will act as the operational backbone of our Artificial Intelligence…
Added 26 days ago
B
Sr Analyst, DevOps
Brookfield
Toronto, ON
- Full-time
Working experience with AWS and/or Azure, particularly AI/ML services (e.g., SageMaker, Bedrock, Azure ML, Azure Foundry)
Added 27 days ago
BA
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Working experience with AWS and/or Azure, particularly AI/ML services (e.g., SageMaker, Bedrock, Azure ML, Azure Foundry)
Added 1 month ago
S
Senior DevOps Engineer
SOVRA
Remote, Canada
- Full-time
- Remote
SOVRA is adding a Senior DevOps Engineer to support the engineering team responsible for its public sector platform. This role was created to meet the operational demands of a growing cloud…
Added 2 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Develop and optimize AI and GenAI solutions using state-of-the-art tools and platform (AI Foundry, GCP Vertex AI, AWS Sagemaker and Bedrock).
Added 1 month ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
Added 2 months ago
B
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 2 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Thomson Reuters is seeking a Senior Machine Learning Engineer who will create the machine learning solutions development and technical implementation including configuration and integration…
Added 2 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 1 month ago
Senior Machine Learning Engineer
Fitch Group
Toronto, ON
Senior Machine Learning Engineer – AI Innovation Teams
Added 3 months ago
Senior Machine Learning Engineer - Computer Vision
Citylogix
Montreal, Quebec
Reporting to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer is responsible for researching, developing, and deploying the computer-vision models at the core of our…
Added 3 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
Build scalable batch inference and feature pipelines on AWS SageMaker and Azure ML.
Added 1 month ago
Staff Software Engineer, Machine Learning Platform
Stripe
Toronto, ON
…platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our…

Brookfield

Sr Analyst, DevOps

Toronto, ON, Canada

Salary Range: C$105K-120K · Full-time

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Job details

Pay: Salary Range: C$105K-120K
Job type: Full-time
Apply by: Oct 15, 2026
Posting language: English
Posted: Sep 15, 2026

Original job description

Location

Brookfield Place - 181 Bay Street

Technology Services

Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.

Brookfield Culture

Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description

The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and reliable AI capabilities that meet business needs across the Brookfield environment. This role translates early-stage concepts and prototypes into production-ready systems, working closely with cross-functional technology teams.

Key Responsibilities

Implement and scale AI capabilities across projects using AWS & Azure native services, building and maintaining the appropriate AI infrastructure and security controls required to run AI applications reliably in the production environment.
Translate prototype and concepts into production-ready implementations by building modular services, APIs, data flows and integration patterns following and applying reusable patterns and enterprise standards.
Implement AI features using LLMs, agent frameworks, retrieval-augmented generation, APIs, orchestration tools and enterprise platforms.
Integrate AI solutions with Brookfield systems and infrastructure to ensure enterprise-wide interoperability.
Build reliable, scalable data pipelines to ingest, transform & validate data – ensuring quality & availability for AI training, inferencing and production workflows
Build reusable APIs and integration layers that enable AI capabilities to be consumed across applications.
Manage the operational support of AI solutions including deployment, configuration and observability across Brookfield environments.
Work closely with internal Brookfield technology teams including cybersecurity, cloud, data, application & project teams to translate requirements into working solutions.
Test AI models, APIs, frameworks and platforms for accuracy, latency, cost, scalability, integration fit and operational readiness.
Document implementation details, APIs, dependencies, deployment steps, operational procedures and known limitations.

Key Deliverables

Deployed, tested and enterprise-integrated AI services, APIs and solutions validated for reliability, security and performance.
Validated, documented data pipelines supporting AI training, inference and production workflows.
Connectors, API contracts and integration layers linking AI capabilities to business applications.
Reusable service templates and implementation patterns adopted across AI projects
CI/CD workflows for AI models and service deployments across all environments.
Monitoring and observability setup through dashboards, alerts and logging for AI workloads closely monitoring performance, costs and reliability.
Hardened AWS and Azure infrastructure and security configurations for AI workloads.
Evaluation reports benchmarking AI models, APIs and frameworks for accuracy, latency, costs and scalability.
Architecture-aligned technical documentation, including API references, deployment runbooks and known limitations
Operational runbooks for incident response, troubleshooting and maintenance of AI workloads.

Required Experience

3-5+ years in software engineering, data engineering or ML engineering roles
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Experience translating prototypes or proof-of-concepts into scalable production-grade AI based solutions
Working experience with AWS and/or Azure, particularly AI/ML services (e.g., SageMaker, Bedrock, Azure ML, Azure Foundry)
Experience with IAM, networking & security configuration for cloud workloads.
Experience with containerization and orchestration (Docker, Kubernetes/ECS/EKS)
Practical experience with LLMs, prompt engineering and agent orchestration frameworks (e.g. Langchain/LangGraph, MS Agent Framework/Semantic Kernel)
Experience implementing RAG (retrieval-augmented generation) architectures, including vector databases (Azure AI Search, AWS OpenSearch, Bedrock KB, AWS DocumentDB)
Familiarity with model serving and inference patterns, including real-time, batch and API based approaches.
Strong API development experience (REST, GraphQL)
Proficiency in Python with CI/CD pipeline experience (GitHub Actions, Azure DevOps)

Skills & Qualifications

Bachelor’s degree in computer science, Software Engineering, Data Science or related field
Proficiency in Python, with familiarity in JavaScript/TypeScript
Skilled in LLMs, prompt engineering, RAG architectures, vector databases and agent orchestration frameworks.
Proficient in REST/GraphQL API build, microservices and integration patterns
Proficient in building ETL/ELT pipelines and validating data using cloud native tools like AWS Glue or Azure Data Factory
Proficient in CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and MLOps practices including model deployment, versioning, and monitoring
Strong problem solving and analytical thinking with a required ability to translate ambiguous requirements into working solutions
Effective technical communicator with a required ability to clearly communicate solutions to both technical and non-technical stakeholders
Demonstrated decisiveness taking ownership of technical decisions and solutions willing to make calculated judgement calls under ambiguity rather than defaulting to indecision.
Adaptable to work with evolving AI tools/frameworks in a fast-changing landscape

Preferred Qualifications

AWS Certified Machine Learning Engineer - Associate
AWS Certified Generative AI Developer - Professional
Azure AI Cloud Developer Associate
Azure AI App and Agent Developer Associate

Salary Range: C$105K-120K

Position Opening Reason:

New Position

Brookfield is committed to maintaining a Positive Work Environment that is safe, respectful; our shared success depends on it. We do not tolerate workplace discrimination, violence or harassment. We are proud to be an Equal Opportunity Employer and make employment decisions based on qualifications, merit, and business needs, without regard to any characteristic protected by applicable law. Applicant information is collected and handled in accordance with our Applicant Privacy Notice. As part of this commitment, we provide barrier-free and accessible employment practices in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and applicable human rights legislation. If you require a Human Rights Code-protected accommodation at any stage of the recruitment process, please let us know when contacted, and we will work with you to meet your needs.

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More about this job

Responsibilities

Build and deliver scalable, production-ready AI solutions and infrastructure using AWS and Azure native services. Develop data pipelines, APIs, and integration layers to ensure AI capabilities are interoperable across the enterprise.

Requirements

Requires 3-5+ years of experience in software, data, or ML engineering with a proven track record of deploying AI/ML solutions in production. Must be proficient in Python, cloud platforms, and agent orchestration frameworks.

Skills

Python
AWS
Azure
LLMs
RAG
Prompt Engineering
Docker
Kubernetes
CI/CD
API Development
Vector Databases
MLOps
Langchain
ETL/ELT Pipelines
JavaScript
TypeScript

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
SageMaker
Bedrock
Azure ML
Azure Foundry
LLM
RAG
Langchain
LangGraph
Semantic Kernel
Vector Databases
Azure AI Search
OpenSearch
Docker
Kubernetes
ECS
EKS
Python
REST
GraphQL
GitHub Actions
Azure DevOps
MLOps
AWS Glue
Azure Data Factory
IAM
Microservices
ETL
ELT

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