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Added 51 mins ago
Associate Director, Product Owner (Toronto)
Fitch Group
Toronto, ON
Solid understanding of ML fundamentals and GenAI architectures including retrieval-augmented generation, vector databases, orchestration frameworks, and agentic AI.
Added 1 hour ago
Senior Machine Learning Engineer
Tekshapers
Toronto, ON
Full-time
…evaluation, monitoring, deployment, and lifecycle management of GenAI solutions - would be considered an…
Added 1 hour ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Exposure to agentic workflows or GenAI product development.
Added 2 hours ago
– Ingénieur(e) IA | AI Engineer
Systematix
AB · Edmonton, AB
$150 to $180 CAD / hour
Full-time
#AIEngineer #IngenieurIA #GenerativeAI #GenAI #LLM #AgenticAI #RAG #AzureOpenAI #MicrosoftCopilot #ClaudeAI #Python #Azure #AWS #EdmontonJobs #Hiring
Added 2 hours ago
Senior Machine Learning Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
…evaluation, monitoring, deployment, and lifecycle management of GenAI solutions - would be considered an…
Added 2 hours ago
Consultant, Data and AI Scientist
CIBC
Toronto, ON
Full-time
…least 2 years of Azure Databricks and at least 1-2 years with GenAI like Microsoft Co-Pilot Studio; coupled with at least 4 years of SQL and Python experience. It’s an asset if you have…
Added 14 hours ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.
Added 15 hours ago
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.
Added 18 hours ago
Product Manager - AI
Simpro Software
Montreal, QC
Full-time
5+ years of experience in Product Management, with a focus on AI/ML-powered products or platform integrations during the last couple of years of the GenAI era/agentic frameworks.
Added 2 days ago
Senior Native Engineer, Partnerships
Javelin Venture Partners
ON · Ontario, Canada
Full-time
…stakeholders to execute a broad range of projects - from shaping our GenAI integration strategy, to landing integrations with major partners, to delivering high-quality experiences tailored…
Added 2 days ago
Credit Risk Manager
PwC
Toronto, ON
Full-time
Developing GenAI and agentic AI tools and solutions to deliver enhanced client experiences and internal productivity
Added 2 days ago
Intermediate Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
Exposure to agentic workflows or GenAI product development.
Added 2 days ago
Software Developer in Test, Intern (WEM)
Genesys
Toronto, ON
Full-time
…supports billions of customer interactions globally. As a Software Developer Intern on the WEM Quality Assurance team, you will build AI-enhanced test automation for user interfaces and…
Added 2 days ago
Software Developer in Test, Intern (WEM)
Genesys
Toronto, ON
Full-time
…supports billions of customer interactions globally. As a Software Developer Intern on the WEM Quality Assurance team, you will build AI-enhanced test automation for user interfaces and…
Added 2 days ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
patterns for agent runtimes, egress controls, and cost guardrails for GenAI consumption.
Added 2 days ago
Senior Native Engineer, Partnerships
Thumbtack
Remote, Canada
Full-time · Remote
…stakeholders to execute a broad range of projects - from shaping our GenAI integration strategy, to landing integrations with major partners, to delivering high-quality experiences tailored…
Added 2 days ago
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
Contract
Build and operationalize AI, GenAI, and Agentic AI solutions.
Added 2 days ago
Senior Analytics Engineer
Securian Canada
Waterloo, ON
$100,000 to $130,000 CAD / year
Full-time
Added 2 days ago
Senior Analytics Engineer
Securian Canada
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
Added 3 days ago
Canada Leader, Specialist Solution Architects | Chef du Canada, Architectes de solutions spécialisés
Amazon
Vancouver, BC · Toronto, ON · Montreal, QC
This team provides field leadership with deep domain expertise that ranges across GenAI, High Performance Computing, Compute, Networking, Storage, Database, and Analytics. It also includes…
Added 3 days ago
Senior Analyst - CX Automation Intelligence & Insights
HelloFresh
Toronto, ON
…agent-assist AI, and customer self-reporting tools), dive deep into GenAI conversational landscapes, and translate complex log data into actionable roadmap strategies. If you love solving…
Added 3 days ago
Specialist - Software Engineering- GEN AI
LTM
ON · Ontario, Canada
$80,000 to $90,000 USD / year
Full-time
We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloudnative applications The ideal candidate should be…
Added 3 days ago
BUSINESS PROG & SOLUTIONS SPECIALIST
City of Toronto
Toronto, ON
…modern full stack technologies, including web, cloud-aligned, GenAI, and API-driven architectures. You will contribute to building scalable and maintainable systems leveraging technologies…
Added 3 days ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
$137,800 to $179,080 CAD / year
Full-time · Remote
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
Added 3 days ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
Full-time · Remote
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…

Tekshapers

Senior Machine Learning Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

Skills and Responsibilities:

We are looking for 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 experience building, deploying, and operationalizing machine learning solutions in cloud environments, with expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle management.

This is a highly technical, hands-on role focused on delivering end-to-end ML solutions, including data preparation, feature engineering, model development, deployment, monitoring, and ongoing production support.

The role requires proven experience taking models from prototype to production, building scalable ML pipelines and services, and integrating machine learning solutions into enterprise applications and operational workflows.

Experience with cloud-native ML platforms, automated deployment processes, and production support is essential.

Experience with Generative AI, LLM applications, agentic AI frameworks, and GenAIOps practices - including evaluation, monitoring, deployment, and lifecycle management of GenAI solutions - would be considered an asset.

In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists and engineers, and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.

“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”

*Disclaimer: This E-Mail may contain Confidential and/or legally privileged Information and is meant for the intended recipient(s) only. If you have received this e-mail in error and are not the intended recipient/s, kindly notify us at itsupport@tekshapers.com and then delete this e-mail immediately from your system. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution, and/or publication of this e-mail, its contents, or its attachment/s other than by its intended recipient/s is strictly prohibited and may be unlawful.

Internet communication cannot be guaranteed to be secured or error-free as information could be delayed, intercepted, corrupted, lost, or contain viruses. Tekshapers. does not accept any liability for any errors, omissions, viruses or computer problems experienced by any recipient as a result of this e-mail.

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More about this job

Responsibilities

Build and operationalize end-to-end machine learning solutions, from data preparation and feature engineering through model development, deployment, monitoring, and production support. Develop scalable ML pipelines and services, integrate solutions into enterprise applications and workflows, and support AI initiatives from proof of concept to production.

Requirements

The role calls for strong hands-on experience taking machine learning models from prototype to production in cloud environments, with expert Python and SQL skills and deep experience with Azure ML, Databricks, MLflow, CI/CD, and MLOps. Candidates should be able to work independently and collaborate with data scientists and engineers; experience with Generative AI, LLM applications, agentic AI frameworks, and GenAIOps is an asset.

Skills

Machine Learning
Python
SQL
Azure Machine Learning
Databricks
MLflow
CI/CD
MLOps
Model Deployment
Model Monitoring
Feature Engineering
Data Preparation
Machine Learning Pipelines
Production Support
Generative AI
Large Language Models

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
Python
SQL
Azure Machine Learning
Databricks
MLflow
CI/CD Pipelines
MLOps
Cloud Environments
Cloud-Native ML Platforms
Data Preparation
Feature Engineering
Model Development
Model Deployment
Model Monitoring
Lifecycle Management
Scalable ML Pipelines
ML Services
Production Support
Enterprise Applications
Operational Workflows
Generative AI
Large Language Models
Agentic AI Frameworks
GenAIOps
Evaluation
Automated Deployment
Proof Of Concept

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