Find work in Canada.

322,038 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
Added 6 months ago
P
Développeur·euse Senior – Plateforme // Senior Platform Engineer
Plusgrade
Montreal, Quebec
- Full-time
…building secure CI/CD pipelines and developing our own tooling in Python or Go. Since AI is redefining how we build, you will use intelligent tools to accelerate infrastructure analysis and…
Added 1 month ago
CI
Lead Business Analyst, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Added 6 months ago
VC
AI Developer - Dutch Speaking
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We are looking for a Dutch-speaking AI Developer based in Canada to own the ongoing development and scaling of the Enterprise Voice AI Agent - built to serve one of our Netherlands-based…
Added 6 months ago
DG
Senior MLOps Engineer
Deep Genomics
Toronto, Ontario
- Full-time
…experience in production infrastructure or MLOps, you write solid Python, and you are curious about the ML and scientific workflows your work supports. Above all, you are a collaborative,…
Added 5 months ago
FF
Senior Analyst, Portfolio Strategy
Forward Financing
Remote, Canada
- $135,000 to $170,000 CAD / year
- Full-time
- Remote
Proficient skills in Excel, SQL, Tableau, and Python
Added 1 month ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production
Added 28 days ago
Senior Technical Artist: Procedural Art
Rockstar Games
Oakville, ON
Added 6 months ago
CN
Thermal Jackfish Exploitation Engineer
Canadian Natural
Calgary, Alberta
- Full-time
Experience with data analytics and visualization methods / software would be an asset (e.g. Tableau, Power BI, Python)
Added 6 months ago
F
Software Developer
Fortinet
Burnaby, British Columbia
- Full-time
o Proficiency in Python, Java, SQL, and cloud platforms (AWS, Azure, or GCP).
Added 2 months ago
L
Sr. Electronics Engineer
Littelfuse
Saskatchewan
- Full-time
Scripting or automation experience (Python preferred).
Added 4 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
Added 6 months ago
TI
Senior AI developer
Tecsys Inc.
Remote, Canada
- Remote
We're looking for a Senior AI/ML Developer to design, build, and deploy production-ready AI solutions that improve warehouse, transportation, and supply chain operations.
Added 6 months ago
Q
GPU Design Verification Engineer
Qualcomm
Markham, ON
- Full-time
Scripting and automation skills (Python, Make, Airflow etc)
Added 6 months ago
ZT
Agentic AI/ Edge Computing SW Engineer
Zebra Technologies
Mississauga, Ontario
- Full-time
Proficiency in Python and experience with modern AI frameworks and libraries (e.g., LlamaIndex, LangChain, OpenAI APIs, TensorFlow/PyTorch, Hugging Face).
Added 6 months ago
MI
Engineer, AI & Software Testing
Magna International
Toronto, Ontario
- Full-time
Added 2 months ago
C
Senior Product Manager
Clarivate
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques
Added 1 month ago
FI
Principal Software Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Python and TypeScript/Next.js on Azure; you will shape where the stack goes from here
Added 26 days ago
A
Guidewire Developer - Rating / Pricing
Aviva
Markham, ON
- Other
As a Guidewire Rating Developer, you will contribute to the design, development, and maintenance of rating logic and rating‑related components within Guidewire PolicyCenter. You will…
Added 6 months ago
UO
Psychometrician
University of Waterloo
Waterloo, Ontario · Psychology, Anthropology, Soci
- Full-time
· Knowledge of SAS, Python, R, Mplus, or other statistical analysis or data transformation tools.
Added 25 days ago
Senior Solution Consultant - Implementation
Coveo
Montreal, QC · AB
Added 28 days ago
Staff Offensive Security Engineer
Robinhood
Toronto, ON
Proficiency in Python, Go, or JavaScript for exploit development, tooling, or automation.
Added 2 months ago
Data Architect
Konrad
Toronto, Ontario
Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
Added 2 months ago
Senior Software Engineer, Full Stack
Brex
Vancouver, British Columbia
Strong proficiency in backend programming languages (Java, Kotlin, Python)
Added 1 month ago
Senior Software Engineer
Evismart
Vancouver, BC
Strong command of at least one major stack Python, Node.js/React, Java/Spring, or Go. We use Python, Node.js, React.

Deep Genomics

Senior MLOps Engineer

Toronto, ON, Canada

The salary range for this role is $175,000 - $200,000, and reflects Canada-based roles; compensation may differ for U.S.-based candidates. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: The salary range for this role is $175,000 - $200,000, and reflects Canada-based roles; compensation may differ for U.S.-based candidates.
Job type: Full-time
Experience: 4+ years of experience operating production infrastructure.
Posting language: English
Posted: Apr 9, 2026

Original job description

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.

Opportunity

Join us in building the future of AI-driven drug discovery as a Senior MLOps Engineer. You will own and evolve the infrastructure that powers our ML pipelines – from cloud environments and CI/CD systems to workflow orchestration and model deployment. You will work closely with ML scientists, bioinformaticians, and software engineers to keep our platform reliable, reproducible, and scalable.

Ideal Candidate

You are someone who enjoys keeping the infrastructure running smoothly so that scientists can focus on their research. You are comfortable working across cloud platforms, CI/CD systems, containers, and GPUs – and you take pride in making these systems reliable and easy for others to use. You have 4+ years of experience in production infrastructure or MLOps, you write solid Python, and you are curious about the ML and scientific workflows your work supports. Above all, you are a collaborative, kind team member who communicates clearly, adapts to evolving needs, and is happy to help colleagues grow their own infrastructure skills along the way. If this sounds like you, we would love to hear from you.

\nKey Responsibilities

Maintain and improve cloud infrastructure (GCP) using Infrastructure-as-Code tools (Terraform).
Manage IAM, RBAC, and permission policies across cloud environments.
Own and evolve CI/CD pipelines (CircleCI, GitHub Actions) and ensure best practices are followed across the engineering and ML teams.
Administer and support workflow orchestration platforms (e.g., Seqera/Nextflow, Argo, Kubeflow).
Operate and configure ML experiment tracking and registry tooling (e.g., W&B, MLflow).
Build and maintain containerized environments (Docker) and manage Kubernetes clusters.
Manage GPU resources – provisioning, scheduling, and debugging hardware and driver issues.
Write and maintain Python tooling, scripts, and integrations that support ML infrastructure.
Help deploy ML models to production environments and monitor their performance.

Basic Qualifications

4+ years of experience operating production infrastructure.
Proficiency with cloud platforms (GCP preferred; AWS/Azure acceptable) and Infrastructure-as-Code (Terraform).
Extensive Hands-on experience with Kubernetes and containerization (Docker).
Solid background in CI/CD systems (CircleCI, GitHub Actions, or similar).
Experience managing GPU compute (provisioning, debugging, driver management).
Familiarity with Python package and environment management (e.g., pip, conda, pixi).
Strong Python programming skills.
Self-motivated problem solver with excellent communication skills.

Preferred Qualifications

Understanding of ML frameworks (e.g., PyTorch, PyTorch Lightning), ML workflows (training, inference, evaluation), and the model lifecycle.
Familiarity with MLOps tooling (e.g., W&B, Ray, VertexAI) and distributed compute patterns
(e.g., DDP, realtime/batch inference, multi-node training).
Familiarity with Kubernetes CRDs and batch/gang schedulers (e.g., Volcano, Kueue).
Experience working with large-scale datasets (storage, versioning, efficient access patterns).
Experience working directly with scientists and researchers in an interdisciplinary setting.
Knowledge of biology and/or machine learning science.
Familiarity with data compliance and governance frameworks (e.g., HIPAA, SOC 2).
Previous startup experience.

What We Offer

A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
Highly competitive compensation, including meaningful stock ownership.
Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
Maternity and parental leave top-up coverage, as well as new parent paid time off.
Focus on learning and growth for all employees - learning and development budget & lunch and learns.
Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

*This posting reflects a current vacancy.

We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $175,000 - $200,000, and reflects Canada-based roles; compensation may differ for U.S.-based candidates.

Apply About employer

More about this job

Responsibilities

You will own and evolve the infrastructure powering ML pipelines, including cloud environments, CI/CD systems, and workflow orchestration. You will collaborate with scientists and engineers to ensure platform reliability, scalability, and reproducibility for AI-driven drug discovery.

Requirements

The role requires 4+ years of experience in production infrastructure or MLOps with strong Python programming skills. Proficiency in cloud platforms, Kubernetes, containerization, and Infrastructure-as-Code tools like Terraform is essential.

Skills

Python
MLOps
Kubernetes
Terraform
GCP
CI/CD
Docker
GPU management
Workflow orchestration
Nextflow
Argo
Kubeflow
MLflow
Infrastructure-as-Code
PyTorch
Distributed compute

Benefits

Health coverage
Vision coverage
Dental coverage
Stock ownership
Employee and family assistance program
Flexible hours
Extended long weekends
Holiday shutdown
Unlimited personal days
Maternity and parental leave top-up
New parent paid time off
Learning and development budget
Lunch and learns

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Cloud Infrastructure
GCP
Terraform
Kubernetes
Docker
Python
CI/CD
CircleCI
GitHub Actions
Nextflow
Argo
Kubeflow
MLflow
W&B
GPU
PyTorch
Distributed Computing
Drug Discovery
Bioinformatics
Computational Biology
Infrastructure-as-Code
IAM
RBAC
Machine Learning
Data Science
VertexAI
Ray
SOC 2
HIPAA

Report this job