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Added 6 mins ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 6 mins ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
Experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to create…
Added 37 mins ago
AI/ML Systems Engineer
Actalent
Ottawa, ON
Contract
Our client, a leading organization in its industry, is seeking a Systems Engineer to support the design and evolution of intelligent diagnostics and observability solutions. This role…
Added 1 hour ago
Senior Software Engineer, Adaptive
Miovision
Remote, Canada
$130,000 to $170,000 CAD / year
Full-time · Remote
We are looking for an experienced, AI-first Senior Software Engineer to join our Adaptive team. Our Adaptive product operates at the cutting edge of real-time traffic signal optimization,…
Added 1 hour ago
Data Engineer (Snowflake)
Insight Global
Toronto, ON
$77 to $85 CAD / hour
Contract
5+ years of experience as a Data Engineer or Data Developer. • Strong hands-on Snowflake experience, including data modeling, data architecture, and SQL development. • Experience with data…
Added 2 hours ago
Senior Staff Cloud Security Engineer | Operational Technology | Office of CISO
ServiceNow
AB · Alberta, CANADA
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 5 hours ago
Senior Data Engineer - Palantir Foundry (Hybrid, Canada)
Unit8 SA
Remote, Canada
Full-time · Remote
…expanding into the Canadian market. We are seeking a Senior Data Engineer who will work directly with customers, owning delivery strategy and…
Added 5 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
As a Data Engineering, Cloud Migration & Platforms Engineer, you will design, build, migrate, automate, and support data platforms and pipelines across on-premises and cloud environments.…
Added 5 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 5 hours ago
Senior Data Engineer - Palantir Foundry (Hybrid, Canada)
Unit8
Montreal, QC
Full-time
…expanding into the Canadian market. We are seeking a Senior Data Engineer who will work directly with customers, owning delivery strategy and…
Added 5 hours ago
Full-Stack Web Engineer
White Widget
MB · Back, MB
Full-time
Seasoned in working with data storage solutions such as BigQuery, PostgreSQL, MongoDB, Firebase, MySQL, or MariaDB
Added 5 hours ago
AI / Data Engineer
White Widget
MB · Back, MB
Full-time
Direct experience in building machine learning solutions, data structures, algorithms, and software design
Added 6 hours ago
Airworthiness Coordinator
Actalent
Fort Erie, ON
Contract
Job Title: Certification Engineer Airworthiness and ComplianceJob Description
Added 7 hours ago
Engineering Manager, Software
General Dynamics Missions System International
Dartmouth, NS · Ottawa, Ontario
$122,000 to $155,000 CAD / year
Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…
Added 8 hours ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 8 hours ago
Solution Architect / Sales Engineer
TRSB Inc.
Montreal, QC
Full-time
4+ years in a Solutions Architect, Sales Engineer, or technical pre-sales role, ideally at a B2B SaaS or AI/ML company selling into regulated or enterprise markets.
Added 8 hours ago
Factory Test Infrastructure Engineer
Ecolab Inc.
Calgary, AB
Full-time
CoolIT, An Ecolab Company, the leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers is looking for a Factory Test Infrastructure…
Added 8 hours ago
Mechanical Engineering Developer
General Dynamics Missions System International
Ottawa, ON
Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…
Added 8 hours ago
Senior Project Engineer - Systems Engineer
General Dynamics Missions System International
Ottawa, ON
Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…
Added 8 hours ago
Cybersecurity System Engineering, Air & Naval
General Dynamics Missions System International
Ottawa, ON
Full-time
General Dynamics Mission Systems–Canada has an opportunity for a new Cybersecurity Engineer to join our Air & Naval division. Our team is growing and looking for additional team members to…
Added 9 hours ago
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 9 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 9 hours ago
Junior Hardware Engineering Developer
General Dynamics Missions System International
Ottawa, ON
Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…
Added 9 hours ago
Software Engineer
General Dynamics Missions System International
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…
Added 9 hours ago
Engineering Manager, Software
General Dynamics Missions System International
Ottawa, ON
$122,000 to $155,000 CAD / year
Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…

Closed listing

AceStack

Senior Machine Learning Engineer // Toronto, ON // Hybrid : FTE

Toronto, ON, Canada

Job type: Full-time
Closing date: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

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Original job description

Archived listing. The details below describe a past opening.

Role: Senior Machine Learning Engineer

Location: Toronto, ON

Work Model: Hybrid

Experience: 10+

Role Overview

We are seeking an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives. The ideal candidate will have strong hands-on expertise in designing, developing, deploying, and operationalizing end-to-end machine learning solutions in cloud environments.

This is a highly technical and hands-on role focused on taking ML solutions from proof of concept to production, building scalable ML pipelines and services, and supporting models throughout their production lifecycle.

Key Responsibilities

•

Design, develop, deploy, and operationalize end-to-end machine learning solutions in cloud environments.

•

Perform data preparation, feature engineering, model development, validation, deployment, monitoring, and production support.

•

Build scalable and reusable ML pipelines and services for enterprise AI applications.

•

Develop and maintain machine learning solutions using Python and SQL.

•

Leverage Azure ML, Databricks, and MLflow for model development, experiment tracking, deployment, and lifecycle management.

•

Implement MLOps practices, including model versioning, automated deployment, CI/CD, monitoring, and governance.

•

Build and maintain automated CI/CD pipelines for machine learning workloads and production deployments.

•

Deploy ML models and services using cloud-native architectures and enterprise deployment practices.

•

Monitor model performance, data quality, system health, and production workloads; troubleshoot and resolve issues as required.

•

Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to deliver production-ready AI solutions.

•

Help establish and improve standards for ML engineering, deployment, monitoring, and lifecycle management across the AI CoE.

•

Support the transition of ML prototypes and proof-of-concepts into scalable, reliable, production-grade solutions.

•

Contribute to production support, continuous improvement, and optimization of deployed ML solutions.

Required Skills & Experience

•

Strong hands-on experience as a Machine Learning Engineer / ML Engineer delivering production ML solutions.

•

Expert-level proficiency in Python and SQL.

•

Strong experience with Azure Machine Learning (Azure ML).

•

Hands-on experience with Databricks and MLflow.

•

Strong understanding of MLOps, ML lifecycle management, model deployment, and monitoring.

•

Experience building and managing CI/CD pipelines for machine learning applications.

•

Proven experience taking machine learning models from prototype/POC through production deployment.

•

Strong understanding of data preparation, feature engineering, model development, validation, deployment, and production support.

•

Experience building scalable ML pipelines and cloud-native ML services.

•

Strong understanding of cloud-based machine learning architectures and enterprise application integration.

•

Ability to work independently while collaborating effectively within cross-functional engineering and data science teams.

Nice to Have

•

Experience with Generative AI and Large Language Models (LLMs).

•

Hands-on experience with Agentic AI frameworks and LLM-based applications.

•

Knowledge of GenAIOps, including evaluation, monitoring, deployment, observability, and lifecycle management of GenAI solutions.

•

Experience integrating AI/ML solutions into enterprise applications and operational workflows.

•

Experience with model governance, responsible AI, and enterprise AI standards.

About employer

More about this job

Responsibilities

Design, build, deploy, and operationalize end-to-end machine learning solutions, pipelines, and services using Python, SQL, Azure ML, Databricks, and MLflow. Implement MLOps and CI/CD practices, monitor and support production models, and collaborate with cross-functional teams to move prototypes into reliable enterprise solutions.

Requirements

Requires 10+ years of experience and strong hands-on expertise delivering production machine learning solutions, with expert-level Python and SQL skills and experience using Azure ML, Databricks, and MLflow. Candidates should understand MLOps, model lifecycle management, CI/CD, cloud-based ML architectures, and the process of taking models from prototype through deployment and production support.

Skills

Python
SQL
Azure Machine Learning
Databricks
MLflow
MLOps
Machine Learning
Feature Engineering
Model Deployment
Model Monitoring
CI/CD Pipelines
Cloud-Native Architectures
Generative AI
Large Language Models
Agentic AI
Model Governance

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
SQL
Azure Machine Learning
Databricks
MLflow
MLOps
Data Preparation
Feature Engineering
Model Development
Model Validation
Model Deployment
Model Monitoring
CI/CD
Cloud-Native Architecture
Machine Learning Pipelines
Production Support
Model Lifecycle Management
Generative AI
Large Language Models
Agentic AI
GenAIOps
Model Governance
Responsible AI
Enterprise AI

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