Find work in Canada.

327,945 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 2 days ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Position: AI/ML Platform Engineer (Cloud Infrastructure)
Added 2 days ago
Platform Engineer – Kubernetes / AI-ML Infrastructure
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 2 days ago
AI/ML Engineer
Evismart
Vancouver, BC
Added 19 days ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Added 4 days ago
AI / ML Engineer
Synechron
Montreal, QC · MDC – Montreal
Full-time
Added 5 days ago
AI/ML Engineer (Cybersecurity)
Atos
Toronto, ON · North York, ON
Full-time
Added 5 days ago
AI/ML Engineer
Atos
Toronto, ON · North York, ON
Full-time
Added 5 days ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
AI & ML Intern - Electrical Engineer (Winter 2027)
Added 6 days ago
AI / Prompt Developer – ML Engineer
Enterprise Solutions Inc.
Montreal, QC
Full-time
Job Title : AI / Prompt Developer – ML Engineer
Added 6 days ago
Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Bevertec
Toronto, ON
Contract
Job Role: Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Added 6 days ago
AI/ML Engineer
Vanguard
Toronto, ON
Full-time
At Vanguard's Corporate Services division, we are seeking a Machine Learning/ AI Engineer to design, build, and scale enterprise AI/ML solutions that drive business innovation and support…
Added 12 days ago
AI/ML DevOps Engineer
CI Financial
Toronto, ON
Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 16 days ago
Lead AI-ML Engineer
Bestica Inc.
Waterloo, ON
Full-time
As an AI/ML Engineer, you’ll build the models behind this platform, working closely with the founders on GNNs, computer vision, LLMs, and deep learning. You’ll take ML research from…
Added 17 days ago
Senior Software Engineer - AI / ML
CyberCoders
Canada
Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Added 12 days ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Added 12 days ago
AI/ML Engineer
Katalyst Data Management
Calgary, AB
Full-time
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure…
Added 12 days ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next…
Added 13 days ago
Student, AI/ML Engineer (Winter 2027, 8 Months)
OMERS
Toronto, ON · Head Office Toronto
Full-time
…looking to jumpstart their career as an AI/Machine Learning Engineer. Our team helps create paved roads for the development of high-quality, secure and well-governed AI solutions by…
Added 17 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 16 days ago
Sr. AI Engineer (AI/ML Inference)
Dialpad
Vancouver, BC
As a Sr. AI Engineer: Systems, you’ll serve as an embedded senior back-end engineer on our Speech Team, owning the production systems that turn speech models and third-party capabilities…
Added 17 days ago
Principal Engineer, AI & ML Solutions
Royal Bank of Canada
Vancouver, BC
Full-time
We are looking for a Principal Engineer, AI & ML Solutions, to join our Global Functions Technology (GFT) team! In this role you'll lead the building of a new AI product from the ground up…
Added 18 days ago
Principal Engineer, AI & ML Solutions
RBC
Vancouver, BC
Full-time
We are looking for a Principal Engineer, AI & ML Solutions, to join our Global Functions Technology (GFT) team! In this role you'll lead the building of a new AI product from the ground up…
Added 26 days ago
AI/ML Engineer - Agentic AI Systems
Kaseya
Toronto, ON
$160,000 to $240,000 CAD / year
Full-time
Added 1 month ago
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 1 month ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…

Evismart

AI/ML Engineer

Vancouver, BC, Canada

Posting language: English
Posted: Sep 17, 2026

Apply About employer

Applications open in a new tab.

Original job description

About EviSmart

EviSmart builds the automation layer that dental laboratories run on.

A dental lab is a manufacturing operation. A case arrives from a dentist - a 3D scan of a patient's mouth and a prescription - and leaves as a crown, bridge, denture or night guard. In between sit a dozen manual steps: monitoring scanner portals, retyping cases into lab software, checking scan quality, interpreting handwritten prescriptions, designing the restoration.

We automate that pipeline. Our software connects to 15 intraoral scanner portals and more than five lab management systems, pulls cases the moment they arrive, reads the prescription, maps it into the lab's own product catalogue, checks the scan, and routes it to design. We serve roughly 6,000 customers across 28 countries from offices in Vancouver, Manila, Seoul and Shenzhen.

The automation works. It does not yet work well enough, consistently enough, to run unattended - and closing that gap is the highest-leverage technical problem in the company.

What you'll do

Establish measurement. Build per-model, per-customer, per-category accuracy reporting that Product and Sales can act on. Nothing else you do matters until this exists.
Build the correction flywheel. Capture the quality-control corrections our customers already make, turn them into structured, versioned training data, and close the loop with human review where confidence is low.
Standardize the squads. One deployment path, one evaluation harness, one model and dataset registry across restoration design, scan quality, prescription extraction and agents.
Solve multi-tenant model behaviour. Thousands of customer-specific product codes, prescription conventions and unwritten preferences sitting over a shared model base - without building a bespoke model per customer.
Take inference to production scale. Move workloads from on-premise to cloud with understood cost per inference and real concurrency headroom.

• • Set technical direction for AI across the company, partnering closely with the CTO, Product and the operations teams in Manila who currently absorb the work our models can't yet do.

• • • • Before you apply - how we work
This is a full-time in-office role at our Vancouver office, five days a week. We are not offering remote or hybrid arrangements for this position, and this is not negotiable at offer stage.
We're explicit about it because the work genuinely depends on it. You'll be standardizing how four existing AI squads build, working across a Manila engineering organization, and spending real time with the operations people who currently absorb the work our models can't yet do. That happens in a room.
If you're looking for remote or hybrid, this isn't the right role and we'd rather not waste your time.

What we're looking for
Required

Significant experience building and operating machine learning platforms in production - model registries, versioned datasets, CI for models, monitoring, rollback. Not research infrastructure.
Depth in document and information extraction from unstructured, inconsistent text. Prescriptions are the core data object here and they are messy.
You have built a system where user corrections became better models, and you can walk through exactly how the data moved.
Genuine evaluation rigour - you can define what "accurate" means for a given category, defend it, and ship against it.
Judgment about when not to use a model. A significant share of this problem is classification and mapping, and deterministic rules beat ML for a lot of it.
Ability to align engineers across squads and time zones without formal reporting authority.

Strongly preferred

Multi-tenant or per-customer model behaviour at scale.
3D or geometry-based ML - directly relevant to scan quality and restoration design.
Experience with healthcare or other regulated data; patient privacy and data residency are live constraints for us.
Inference cost management and on-premise to cloud migration.

• • Not required
Dental or medical-device background. The workflow is learnable in an afternoon and we would rather have platform depth. What we do want is curiosity about a strange, physical, high-stakes manufacturing process - the output of our software ends up in someone's mouth.

What success looks like

By 90 days - you can tell us, with evidence, where our models actually fail and for which customers. The squads agree on a single evaluation standard.

By six months - customer corrections flow into training data automatically. At least one production model has measurably improved through that loop.

By twelve months - prescription quality control runs with confidence thresholds, routing only genuinely ambiguous cases to human review. We can state our accuracy publicly and defend it in a sales conversation.

Why this role

Larger competitors have bigger AI teams and a five-year head start on modelling. We are not trying to beat them at that.

We are trying to build something they structurally cannot: a system that gets better every time one of six thousand laboratories tells us we got something wrong. That data exists. The loop does not.

If you have built this kind of flywheel before - or you have been close enough to one to know exactly why most of them fail - we should talk.

Apply About employer

More about this job

Responsibilities

You will establish measurement and accuracy reporting while building a correction flywheel to turn customer quality-control feedback into structured training data. Additionally, you will standardize deployment paths across AI squads and manage the transition of inference workloads to the cloud.

Requirements

The role requires significant experience in building and operating production machine learning platforms and expertise in extracting information from unstructured text. You must be capable of aligning engineering squads across time zones and possess strong judgment regarding when to apply machine learning versus deterministic rules.

Skills

Machine learning platforms
Model registries
Versioned datasets
CI for models
Document extraction
Information extraction
Evaluation rigour
Classification
Mapping
Multi-tenant model behaviour
3D ML
Geometry-based ML
Inference cost management
Cloud migration
Data privacy

Visa sponsorship

Not detected in the job text

Keywords

AI
ML Engineer
Machine Learning
Automation
3D Scan
Data Registry
CI/CD
Inference
Cloud Computing
On-premise
Data Privacy
Healthcare
Manufacturing
Model Monitoring
Version Control
Geometry-based ML
Product Catalogue
Software Engineering
Technical Direction
Operations

Report this job