Role Overview
EviSmart is hiring a Lead Machine Learning Engineer for Scalable Infrastructure Solutions. This is a full-time role in Vancouver, British Columbia. Part of EviSmart's Backend hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Shape the future of AI in dentistry as a Machine Learning Engineer. You will build the production backbone for robust, scalable services using advanced GPU and infrastructure technologies.
This systems-level engineering role focuses on transforming research models into reliable, production-grade services. With over 5 years of experience in ML Infrastructure or MLOps, you will optimize GPU workloads and design fault-tolerant infrastructures. Your hands-on expertise in Docker and asynchronous job systems will ensure seamless deployment and robust service delivery.
Key Responsibilities :
- Convert research models to scalable inference services
- Design reproducible Docker environments for deployment
- Optimize GPU memory usage for 3D workloads
- Architect asynchronous job orchestration for GPU resources
- Build CI / CD pipelines and automate deployment workflows
Requirements
- 5+ years in ML Infrastructure or MLOps
- Proven success in deploying ML models in production
- Strong expertise in Docker management
- Experience with GPU workloads and orchestration
- Familiarity with backend APIs integration
Elevate AI applications by bridging research and production, delivering impactful solutions in modern dentistry.
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Frequently Asked Questions
How do I apply for the Lead Machine Learning Engineer for Scalable Infrastructure Solutions position at EviSmart?
Use the Apply button above to submit your application directly to EviSmart. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Lead Machine Learning Engineer for Scalable Infrastructure Solutions position at EviSmart located?
This position is based in Vancouver, British Columbia. EviSmart has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Lead Machine Learning Engineer for Scalable Infrastructure Solutions at EviSmart earn?
EviSmart has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Lead Machine Learning Engineer for Scalable Infrastructure Solutions role at EviSmart posted?
This role was posted on April 5, 2026 (64 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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