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Added 1 day ago
V
AI Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled AI Engineer with strong expertise in Python, SQL, AWS Bedrock, AWS SageMaker, LangGraph, LLM Fine-Tuning, and Retrieval-Augmented Generation…
Added 1 day ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 2 days ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern…
Added 2 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Added 3 days ago
L
Full Stack Engineer, Agentic AI
Lazer
Remote, Canada
- Contract
- Remote
Comfort working with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker, etc.
Added 4 days ago
T
Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…presence and thousands of professionals across the country, for a Senior Consultant, ML/AI Engineer to join its Data & AI practice in Vancouver. The firm helps some of Canada’s largest…
Added 4 days ago
PG
AWS SageMaker Engineer
Pacer Group
Toronto, ON
- $50 to $53 CAD / hour
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 4 days ago
Q-
MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal
Added 5 days ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Certifications across more than one vendor, for example Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks Data Engineer Professional, or SnowPro Advanced.
Added 8 days ago
SL
Senior Operational Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 8 days ago
S
Senior Operational Engineer
Sunlife
Toronto, ON · North York, ON
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 8 days ago
S
Senior Operational Engineer
Sunlife
Toronto, ON · North York, ON
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 8 days ago
S
Senior Operational Engineer
Sunlife
Waterloo, ON
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 9 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
Added 10 days ago
Principal AI Architect
Robots and Pencils
Canada
…cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice…
Added 11 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Experience with modern data technologies such as AWS data services, Databricks, Snowflake, Redshift, SageMaker, Airflow, and dbt or comparable technologies.
Added 11 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Experience with modern data platforms and technologies such as AWS data services, Databricks, Snowflake, Redshift, SageMaker, Airflow, and dbt, or comparable technologies.
Added 12 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · Java · SQL · PySpark · AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3) · Kubernetes · Docker · Snowflake · SnowPark ·…
Added 12 days ago
UC
AI/Full Stack Developer
UniSysTech Consulting
Toronto, ON
- Other
Can develop applications with AWS Serverless including, Compute (e.g., lambda, Fargate), Network (e.g., VPC essentials), Security (e.g., IAM), Storage (e.g., S3), IaC (e.g., AWS CDK),…
Added 15 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
Added 15 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
AWS: Hands-on experience required; SageMaker experience is a strong asset.
Added 16 days ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
We are currently searching for a Senior Software Engineer to collaborate with our exceptional, growing team of business and AI specialists at Yeji Data Lab. The ideal candidate should…
Added 16 days ago
RA
Senior Software Engineer – Python & AWS (100% Remote)
Recrute Action
ON · North York, Toronto, Kitchener, Ontario
- Contract
Senior Software Engineer – Python & AWS (Remote)
Added 16 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)
Toronto, ON
- 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 16 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)
Vancouver, BC
- 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…

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Machine Learning Engineer- AWS SageMaker

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

Machine Learning Engineer- AWS SageMaker

Toronto, ON

Hybrid: 2 days per week in-person at Toronto office preferred

Skills: Digital: Python | Digital: Azure Machine Learning (ML) | Digital: Terraform | AI & Gen AI - Products & Tools
Experience Required: 6–8 Years

Role 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, and operationalizing Machine Learning solutions on AWS.

The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and implementing end-to-end ML pipelines, feature management strategies, model deployment automation, monitoring, and CI/CD integration for enterprise-scale machine learning platforms.

Top 3 Required Skills:

• AWS SageMaker (Model Development, Training, Deployment, Monitoring)
• AWS SageMaker Feature Store and Feature Engineering
• MLOps and Python Development

Top 3 Preferred Skills:

• AWS Bedrock / Generative AI
• Terraform / CloudFormation
• Kubernetes and Docker

Experience Required:

• 8+ years of overall IT experience
• Strong hands-on experience with AWS cloud services
• Experience implementing MLOps pipelines and ML lifecycle management
• Strong Python development skills
• Hands-on experience with SageMaker Pipelines, Model Registry, and Feature Store
• Experience with CI/CD tools and cloud-native development practices

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
• AWS certifications preferred

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More about this job

Responsibilities

Design and implement end-to-end machine learning pipelines, feature management strategies, and automated model deployment for enterprise-scale platforms. Operationalize machine learning solutions on AWS, including monitoring and CI/CD integration.

Requirements

Requires 8+ years of overall IT experience, strong AWS cloud and Python expertise, and hands-on experience with SageMaker, Feature Store, MLOps pipelines, and machine learning lifecycle management. A bachelor's degree in a related field is required; AWS certifications are preferred.

Skills

AWS SageMaker
SageMaker Feature Store
MLOps
Python
Machine Learning
Feature Engineering
SageMaker Pipelines
SageMaker Model Registry
CI/CD
AWS Bedrock
Generative AI
Terraform
CloudFormation
Kubernetes
Docker
Azure Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

AWS SageMaker
SageMaker Feature Store
SageMaker Pipelines
SageMaker Model Registry
AWS Bedrock
Generative AI
Python
Azure Machine Learning
Terraform
CloudFormation
Kubernetes
Docker
MLOps
Machine Learning
Feature Engineering
Feature Management
Model Development
Model Training
Model Deployment
Model Monitoring
CI/CD
Cloud-Native Development
AWS Cloud Services
Enterprise Machine Learning Platforms
AWS Certifications

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