Back to jobs

ML Ops Engineer

Vancouver, BC, Canada

About EviSmart

EviSmart is a B2B SaaS platform transforming how dental labs, dentists, and design centers work together. We connect practices across 28+ countries with AI-powered workflow automation, overnight CAD design services, and intelligent case management. We're a team of ~60 across Vancouver, Manila, and Seoul—building the operating system for modern dentistry.

The Opportunity

Our core AI research is done. The 3D segmentation models work. The generative models are built. The frontend is live, the storage layer is operational.

What's missing is the production backbone—the compute layer that turns research-grade models into fast, reliable, scalable services that real users depend on every day.

This role is about building that backbone. You'll architect and operate the infrastructure that powers heavy 3D mesh processing and GPU-intensive workloads for both internal teams and external customers. You'll own the systems that make our AI actually work in production—reproducibly, efficiently, and at scale.

This is a systems-level engineering role, not model research. If you're the person who bridges the gap between "it works in a notebook" and "it works for 10,000 users," we want to talk to you.

What You'll Be Doing

Productionizing Research Models

  • Convert research models into scalable, production-grade inference services
  • Design reproducible, version-controlled Docker environments with clear deployment standards
  • Optimize GPU memory usage and runtime performance for 3D workloads
  • Implement stateless service architectures with model versioning and rollback capabilities

Building Hybrid GPU Infrastructure

  • Architect asynchronous job orchestration across on-prem GPU servers and cloud GPU instances
  • Implement GPU scheduling, isolation, and intelligent workload routing
  • Design for concurrent users with fault tolerance and graceful failure recovery
  • Support hybrid infrastructure with cloud burst capacity for peak demand

Designing a Scalable Inference Platform

  • Build modular pipelines with clean separation between preprocessing, model inference, and postprocessing
  • Create well-defined service boundaries between backend APIs and compute services
  • Establish a platform architecture that allows future models to integrate without major refactoring

Deployment & Automation

  • Build CI/CD pipelines for model updates and infrastructure changes
  • Implement version control, rollback strategies, and release management across environments
  • Automate deployment workflows across hybrid infrastructure

Reliability & Observability

  • Implement logging, monitoring, and system observability across the compute layer
  • Track GPU utilization, job performance, and queue health
  • Design retry mechanisms and automated failure handling
  • Optimize latency and throughput to maintain stability under variable load

What We're Looking For

Required

  • 5+ years in ML Infrastructure, MLOps, or backend systems engineering
  • Proven track record deploying ML models into production environments
  • Strong expertise in Docker and container lifecycle management
  • Hands-on experience managing and optimizing GPU-based workloads
  • Experience designing asynchronous job systems or queue-based architectures
  • Solid Linux systems administration skills
  • Experience integrating ML services with backend APIs (FastAPI, Flask, etc.)

Preferred

  • Kubernetes or other container orchestration platforms
  • Hybrid cloud + on-prem infrastructure deployment
  • CI/CD pipeline design and automation
  • Monitoring and logging tools (Prometheus, Grafana, ELK, etc.)
  • Infrastructure-as-Code (Terraform, Pulumi, etc.)
  • Experience with high-compute 3D ML workloads
  • Model versioning systems and experiment tracking

You'll Thrive Here If You…

  • Have successfully transitioned ML systems from research to commercial deployment
  • Think in terms of platform architecture, not one-off deployments
  • Care about reliability, scalability, and production SLAs
  • Are comfortable debugging across GPU, container, and infrastructure layers
  • Design systems for long-term extensibility—not just what works today

EviSmart™ | Where Dental Work Flows Vancouver | Manila | Seoul

Apply today @ Evismart Careers 

 

Create a Job Alert

Interested in building your career at Evismart? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Education

Select...
Select...
Select...
Select...
Select...
Select...
Select...
Select...
Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Evismart’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.