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Added 23 days ago
H
Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 23 days ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
· Proficient in Python for data science and GenAI application development
Added 23 days ago
MS
Consultant Conversion - Lead Cybersecurity Ops: Job Level - Vice President
Morgan Stanley
Montreal, QC
- Full-time
-Perform advanced manual penetration testing and security assessments of Web Applications, APIs, Mobile Applications, Cloud-Native Applications, GenAI/LLM-enabled systems, and…
Added 23 days ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Architect end-to-end AI pipelines using OCI GenAI Services, Oracle Data Science platforms, and Autonomous Database.
Added 24 days ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
…Comprised of the Credit Valley Hospital, the Mississauga Hospital and the Queensway Health Centre, along with several satellite locations, THP serves the growing and diverse populations of…
Added 24 days ago
ZT
Computer Vision Software Developer, Professional II- Développeur ou Développeuse de Logiciels en Vision par Ordinateur II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
As a Computer Vision Software Developer II, you will work on Computer Vision projects turning Zebra's core algorithms from prototypes to high-quality product ready code. You will design and…
Added 25 days ago
C
Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
Citi’s Markets Technology group is modernizing financial risk management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you…
Added 25 days ago
D
Data Scientist
Dexian
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Use LLMs and GenAI for analytics and automation.
Added 26 days ago
S
Data Scientist Intern (Jan 2027 12 Months)
SOTI
Mississauga, ON
- Full-time
It all started with a classic story about one developer’s vision. While Carl Rodrigues, President and CEO of SOTI, was an IT consultant, he developed solutions for managing mobile device…
Added 26 days ago
R
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
RBC
Toronto, ON
- Full-time
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity…
Added 26 days ago
R
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
RBC
Toronto, ON
- Full-time
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity…
Added 26 days ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…takes ownership of your components, cares about operability and correctness, and collaborates well within your team. You work within technical direction and standards set by the team's…
Added 26 days ago
AW
Artificial Intelligence Specialist
Agilus Work Solutions
Toronto, ON
- Contract
The ideal candidate will bring strong Python development, practical LLM/GenAI experience, and experience working with AI agents, APIs, integrations, retrieval, and evaluation. Hands-on…
Added 26 days ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…takes ownership of your components, cares about operability and correctness, and collaborates well within your team. You work within technical direction and standards set by the team's…
Added 26 days ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Exposure to AI-assisted software testing, GenAI testing tools, AI-based test design or automation, or practical use of AI to improve QA productivity and coverage.
Added 27 days ago
RB
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
Royal Bank of Canada
Toronto, ON
- Full-time
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity…
Added 27 days ago
NV
Compositing Supervisor
NOX Visual Effects
Vancouver, BC
- Full-time
…We’ve got a steady stream of episodic projects rolling in, and we need someone who can help us run the department day-to-day while shaping how we grow, build out our workflows, and level up…
Added 27 days ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Manulife is making a significant investment in Advanced Analytics and GenAI to transform how Finance, Treasury, and Actuarial teams make decisions. Our AI team builds practical, governed…
Added 29 days ago
AI
Automation Developer
Apptoza Inc.
Toronto, ON
- Contract
…Proficiency in Jira Service Management is essential for configuring and automating workflows. Strong Java and Python development skills are required for building applications and…
Added 1 month ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production…
Added 1 month ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
This role is located in the Greater Toronto Area and follows a hybrid work model. Candidates must reside within commuting distance of the GTA or be willing to relocate for this opportunity.
Added 1 month ago
A
Développeur(-euse) Full Stack (Python, React)
Akkodis
Montreal, QC
- Contract
Akkodis is seeking an experienced Full Stack Developer (Python, React) to support the development and enhancement of strategic applications within a leading financial technology environment.
Added 1 month ago
IC
HR Data Scientist, Data Eng.
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Expert-level proficiency in Oracle SQL, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, and automation.
Added 1 month ago
A
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
This role is located in the Greater Toronto Area and follows a hybrid work model. Candidates must reside within commuting distance of the GTA or be willing to relocate for this opportunity.
Added 1 month ago
AI
AI Platform Engineer - DevOps, Python
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application teams across Capital Markets. An open minded…

Wealthsimple Technologies

Senior Software Developer, ML Platform & Infrastructure

Toronto, ON, Canada

$152,000 to $189,000 CAD / year · Full-time

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Job details

Pay: $152,000 to $189,000 CAD / year
Job type: Full-time
Experience: 7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Posting language: English
Posted: Oct 2, 2026

Original job description

Build something people love

Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

We're proud of what we've built - and we're just getting started. Read our Culture Manual and learn more about how we work.

ML Platform & Infrastructure Team

The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production MLOps and cutting-edge GenAI enablement.

As our AI footprint expands rapidly, our priority is evolving our robust MLOps foundations into a scalable, high-performance LLM serving and routing platform. We build self-serve systems that allow Data Scientists and Engineers to host open-source LLMs reliably, optimize inference latencies, manage GPU infrastructure, and benchmark model performance safely in production.

The Role

We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique challenges of LLM inference and infrastructure.

In this role, you will bridge the gap between traditional MLOps (model lifecycles, pipeline orchestration, serving infrastructure) and modern GenAI stack requirements (vLLM, GPU cluster management, intelligent model routing, and automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems company-wide.

In this role, you will have the opportunity to:

Turn MLOps expertise to GenAI: Transition traditional ML lifecycle and serving patterns into state-of-the-art LLM inference engines and GPU orchestration systems.
Build model-routing architecture: Design low-latency routing frameworks (e.g., LiteLLM integration) to dynamically direct requests across managed cloud providers (AWS Bedrock) and self-hosted open-source models.
Provision & scale GPU infrastructure: Architect and manage high-performance GPU serving environments on Kubernetes using engines like vLLM, Ray, and Triton.
Develop evaluation & benchmarking tooling: Build automated Evals and observability frameworks to empower engineers and data scientists to validate model quality, latency, and drift against production requirements.
Empower self-serve ML across Wealthsimple: Partner with product engineering and data science teams to build framework-agnostic platform tooling that abstracts infrastructure complexity.
Drive cost & performance optimization: Improve price-performance across self-hosted and managed inference by optimizing capacity, utilization, batching, routing, and model selection while meeting quality and reliability objectives

We are looking for people who have:

7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Deep experience in MLOps/ML Platform practices: Proven track record building and operating self-serve ML platforms, model registry workflows, experiment tracking, or production serving infrastructure (Kubeflow, MLflow, Ray, Triton, SageMaker).
Strong platform fundamentals: Advanced proficiency in Python, container orchestration via Kubernetes, infrastructure-as-code (Terraform), and cloud provider ecosystem (AWS).
Strong appetite to specialize in LLM serving: A genuine desire to leverage your existing MLOps skillset to tackle LLM-specific challenges (vLLM, model routing, prompt engineering tooling, vector databases, GPU memory optimization, or LLM evaluation frameworks).
Backend performance & observability focus: Experience designing highly available, observable microservices (e.g., FastAPI) handling real-time, low-latency requests.
End-to-end technical ownership: Proven capability to lead architectural roadmaps, guide multi-functional projects with high autonomy, and maintain complex platform systems for the long run.

Nice-to-haves (or areas you will learn on the job):

Direct experience serving open-source Large Language Models in production (vLLM, SGLang, TensorRT-LLM, Dynamo).
Hands-on work with CUDA, GPU partitioning, or distributed inference frameworks (Ray Serve).
Familiarity with vector search and retrieval engines (Elasticsearch, Qdrant, Pinecone).

Our Stack Includes:

Container & Infrastructure: Kubernetes, Terraform, AWS GPU Infrastructure
ML Serving & LLM Tooling: vLLM, Ray, Triton, LiteLLM, AWS Bedrock, MLflow, SageMaker
Languages & Frameworks: Python, FastAPI, PyTorch
Data & Streaming: Kafka, Postgres, Redshift, Snowflake

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*

✈️ 90 days away: work outside Canada for up to 90 days per year*

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work - whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know - we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Apply About employer

More about this job

Responsibilities

You will build and scale foundational architecture for AI and GenAI initiatives, focusing on LLM inference engines and GPU orchestration. Additionally, you will develop self-serve platform tooling to empower data scientists and engineers to benchmark and deploy models reliably.

Requirements

The role requires 7+ years of software engineering experience in ML infrastructure, MLOps, or data platform engineering. Candidates must possess strong proficiency in Python, Kubernetes, and cloud infrastructure, along with a deep interest in LLM serving and performance optimization.

Skills

MLOps
Machine Learning Infrastructure
Python
Kubernetes
Terraform
AWS
vLLM
Ray
Triton
FastAPI
PyTorch
Model orchestration
GPU infrastructure
LLM inference
Observability
Data platform engineering

Benefits

Health benefits
Life insurance
Group savings with employer match
20 vacation days
4 wellness days
Unlimited sick days
Unlimited mental health days
90 days away program
Equity compensation

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning
GenAI
LLM
Infrastructure
Kubernetes
Terraform
AWS
Python
FastAPI
PyTorch
vLLM
Ray
Triton
LiteLLM
MLflow
SageMaker
Kafka
Postgres
Redshift
Snowflake
GPU
CUDA
Vector databases
Model routing
Observability
Microservices
Data platform
Inference
Benchmarking

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