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Added 3 hours ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
About the Opportunity We are looking for an experienced Hybrid Cloud Architect to join our team in Montreal. In this role, you will design, implement, and govern secure, scalable, and…
Added 4 hours ago
N
Software Engineer – Master’s New Grad / Bachelor’s + 2–3 Years Experience
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 4 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 5 hours ago
AM
Principal ASIC Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proficiency with Verilog, SystemVerilog, and scripting languages such as Python, Perl, or Tcl for design automation and productivity improvements.
Added 5 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a…
Added 6 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our…
Added 6 hours ago
KG
IAM Automation Engineer (Python & PingDS Focus)
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
We are seeking a highly analytical IAM Automation Engineer who uniquely bridges the gap between Identity & Access Management (IAM) infrastructure and core Python software engineering. In…
Added 6 hours ago
ET
Senior LLM Research Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
Strong Python expertise and experience with modern LLM frameworks such as PyTorch, Hugging Face Transformers, TRL, DeepSpeed, vLLM, or similar tools
Added 6 hours ago
Systems Engineer, Data Center Debug
Tenstorrent
Toronto, ON
…performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms,…
Added 7 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 7 hours ago
AI
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 7 hours ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
…of innovation and continuous learning, providing employees with rich opportunities for professional growth. This commitment to our team earned us the "Best Places to Work" recognition from…
Added 7 hours ago
SL
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is looking for AI Engineer with at least 2 years of development experience. This role will be instrumental in driving innovation, implementing cloud capabilities, and building…
Added 7 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 7 hours ago
TN
Data Engineer
TalentVault Network Inc.
Vancouver, BC
- Contract
Location: Hybrid - 2-3 days per week onsite in Vancouver, BC
Added 7 hours ago
RE
Engineer (Physical AI)
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking an entry level Engineer (Physical AI) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will research and develop next generation…
Added 7 hours ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ…
Added 7 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 7 hours ago
Developer Advocate
Asana
Vancouver, BC
This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from…
Added 7 hours ago
Senior AI Engineer
Guidepoint
Toronto, ON
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 8 hours ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience with automation technologies such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent frameworks.
Added 8 hours ago
AI Engineer Sr
Dayforce
Canada
…headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ)…
Added 8 hours ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
The Digital Platforms team within the Working Capital Solutions group is seeking a Senior Quality Engineer/Lead with specialized AI expertise to help build and evolve EDC's AI-enabled…
Added 8 hours ago
A
Principal ASIC Design Engineer
AMD
Markham, ON
- $155,200 to $232,800 USD / year
- Full-time
Proficiency with Verilog, SystemVerilog, and scripting languages such as Python, Perl, or Tcl for design automation and productivity improvements.
Added 8 hours ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
Akkodis is partnering with a leading institutional investment and pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and…

Closed listing

AceStack

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

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

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

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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

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

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

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

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Develop and maintain machine learning solutions using Python and SQL.

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

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

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

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

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

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

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

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

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

Required Skills & Experience

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

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Expert-level proficiency in Python and SQL.

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Strong experience with Azure Machine Learning (Azure ML).

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Hands-on experience with Databricks and MLflow.

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

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

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

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

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

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

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

Nice to Have

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

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

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

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

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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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