Jobs in Canada

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Added 3 months ago
AI
Senior Controls Systems Software Designer
ATS Industrial Automation
Woodbridge, ON
- Full-time
In depth programming in environments mainly using PLC Ladder logic (Rockwell / Siemens platforms), and structured test (i.e. shell scripting, Visual Basic, C#, Python)
Added 2 months ago
L
Senior Software Automation Engineer
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Position Title: Senior Software Automation Engineer
Added 2 months ago
W
Senior Software Engineer II - Integrations
Wrapbook
Remote, Canada
- $183,000 to $251,500 CAD / year
- Full-time
- Remote
Strong coding fluency and hands-on experience with modern data/integration tooling (e.g., Dagster, Airbyte, Airflow, dbt, or similar) as well as Python and Rails
Added 3 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Vaughan, ON
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 3 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Oakville, ON
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 3 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Hamilton, ON
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 3 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Montreal, QC
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 3 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Boisbriand, QC
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 3 months ago
P
Senior Software Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
As a Senior Software Engineer at Prophix, you'll play a central role in shaping the product that over 2,500 finance teams around the world rely on every day for budgeting, reporting, and…
Added 3 months ago
S
Data Architect - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong experience as a hands‑on data engineer, with the ability to design, build, and maintain production‑grade data solutions while contributing directly to delivery
Added 2 months ago
Senior Python Developer
Ampliwork
Montreal, QC
Montreal, Canada: Hybrid - 2 days per week in the office · Candidates must be based in either Montreal or India
Added 2 months ago
L
Senior Optical Characterization and Test Engineer
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Position Title: Senior Optical Characterization and Test Engineer
Added 3 months ago
F
Data Engineer
Financeit
Toronto, ON
- $75,000 to $95,000 CAD / year
- Full-time
We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models,…
Added 3 months ago
W
Software Engineer III/Senior Software Engineer (Full Stack)
Workday
Vancouver, BC
- Full-time
As a Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 3 months ago
S
Robotics Integration Engineer – Robot, Vision & Edge Connectivity, Kitchener, ON
Siemens
Kitchener, ON
- Full-time
About the role: Robotics Integration Engineer for Robot, Vision, and Edge Connectivity
Added 3 months ago
A
Lead SMU Validation Engineer - Data Center GPU
AMD
Markham, ON
- $120,800 to $181,200 CAD / year
- Full-time
As an Lead SMU (System Management Unit) Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive SMU hardware and power-management validation for AMD…
Added 3 months ago
C
Ingénieur de données-Palantir Foundry
CGI
Montreal, QC
- Full-time
We are seeking an experienced Data Engineer specializing in Palantir Foundry to join a large scale enterprise data and analytics transformation program. The successful candidate will play a…
Added 3 months ago
T
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
- Full-time
…software in real-world environments. You will operate as both a hands-on engineer and a trusted technical partner - translating business needs into working products while helping clients…
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 2 months ago
Platform Engineer
Fleetworthy
Edmonton, AB
Fleetworthy Inc. is hiring a Platform Engineer to own and evolve the systems that connect our cloud platform to the physical world. You'll work across AWS and Kubernetes environments,…
Added 2 months ago
C
Senior Java Developer – Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior Java Engineer to join our dynamic team. The ideal candidate will be a hands-on developer with leadership quality, proficient in modern…
Added 2 months ago
E
Staff Engineer, API Design & Governance
eBay
Toronto, ON
- Full-time
We are seeking a highly experienced Software Design Engineer to design and build scalable, high-performance systems & APIs that power seamless end-to-end customer experiences.
Added 2 months ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
At least 6 years of hands-on development experience preferably using Java, Python, Go or other object-oriented programming languages
Added 2 months ago
BC
AI/ML Ops Engineer
Blackpoint Cyber
Remote, Canada
- $131,000 to $164,250 CAD / year
- Full-time
- Remote
As AI/ML Ops Engineer, you will own the operational backbone of Blackpoint's AI/ML capability - taking models from training through production deployment and owning the full AI/ML loop…

Blackpoint Cyber

AI/ML Ops Engineer

Remote, Canada

Remote

$131,000 to $164,250 CAD / year · Full-time

Apply on jobs.ashbyhq.com About employer

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Job details

Pay: $131,000 to $164,250 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Aug 17, 2026

Original job description

Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.

ROLE SUMMARY

As AI/ML Ops Engineer, you will own the operational backbone of Blackpoint's AI/ML capability - taking models from training through production deployment and owning the full AI/ML loop across every pipeline the team runs at scale. You will be instrumental in building out this new function: standing up deployment pipelines, taking trained scripts and putting them on endpoints that can accept live requests, and ensuring every solution you ship is production-grade, highly available, and well monitored. As the team's scope expands, you will take on ownership of testing across the board and automate training, monitoring, and deployment pipelines across the AI lifecycle. You will report to the Vice President of AI and Data and work closely with Engineering, the Security Operations Center (SOC), and the Adversary Pursuit Group (APG).

WHO YOU ARE

5+ years of hands-on ML Engineering experience, including having personally trained and deployed models into a production environment - you know what it takes to take an AI product from prototype to live service.

A well-architected mindset - built for efficiency, performance, security, and reliability, with genuine comfort owning deployment pipelines end-to-end.

Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.

Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.

WHAT YOU'LL BRING

Experienced in:

Cloud-based ML Infrastructure (AWS)

Model Development, Evaluation, & Deployment Operations (SageMaker, Bedrock)

Inference Streams & Event-Driven Processing (Kafka, Spark)

MLOps Workflows (MLFlow, Sagemaker Pipelines)

Infrastructure as Code & Pipeline Automation (Terraform, AI CI/CD, GitHub Actions)

ML Governance (Data, Model, & Feature Versioning, Monitoring & Testing)

Containerized Services (Docker, Kubernetes, ECS/EKS)

Scripting Languages (Python, Bash)

Query Languages (SQL, SparkSQL)

GitFlow, CI/CD workflows & DevOps best practices

Experience with AI-Assisted development life cycle

Building high-availability, production-grade systems with strong visibility and alerting baked in from day one

Nice to Have:

Transformer Neural Networks

Agile Scrum/Kanban

Anthropic, OpenAI, LiteLLM APIs and SDKs

Experience in Cybersecurity, IoT, or NLP fields

Grafana or CloudWatch (observability tooling)

HOW YOU'LL MAKE AN IMPACT

Own the AI/ML loop end-to-end at scale - across all pipelines, from model training through deployment, monitoring, and retirement.

Develop, optimize, and deploy ML models, drawing on direct, hands-on experience training models yourself.

Design, build, and administer model-building and serving infrastructure, taking trained scripts and standing them up as live endpoints that can accept real-time requests.

Implement ML workflows as containerized Infrastructure as Code, using Terraform, GitHub Actions, Docker, and Kubernetes.

Build and automate standardized container pipelines for training, feature engineering, and inference channels, with CI/CD managed through GitHub.

Own test strategy across the full ML pipeline - model validation, integration, load, and deployment testing - as the team's testing scope continues to expand.

Build visibility and alerting into every deployed pipeline and hold all AI/ML solutions to a production-grade, highly-available, well-monitored bar.

Develop ML governance utilities for oversight and administration of deployed infrastructure.

Implement data, feature, and model lifecycle best practices.

Contribute to AI architecture and design decisions, taking primary ownership of ML pipeline work.

Collaborate closely with cross-functional teams, including Engineering, Blackpoint Cyber's Security Operations Center (SOC), and the Adversary Pursuit Group (APG).

Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment.

For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks. International employees receive competitive benefits in accordance with local market standards and applicable country requirements.

Blackpoint believes all employees should share in the company’s success – equity participation is available to employees globally, with program details varying by location and employment structure.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will own the operational backbone of the AI/ML capability, managing the full lifecycle from model training to production deployment. This includes building automated pipelines, ensuring high availability, and implementing robust monitoring and governance for all AI/ML solutions.

Requirements

The role requires 5+ years of hands-on ML Engineering experience with a proven track record of deploying models into production environments. Candidates must possess strong expertise in cloud-based ML infrastructure, containerization, and automated deployment pipelines.

Skills

MLOps
AWS
Python
Terraform
Kubernetes
Docker
GitHub Actions
Kafka
Spark
SageMaker
CI/CD
SQL
Bash
Model Deployment
Infrastructure as Code
Monitoring

Benefits

Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
401k Plan
Discretionary Time Off
Equity Participation

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Ops
Cybersecurity
AWS
SageMaker
Bedrock
Kafka
Spark
MLFlow
Terraform
GitHub Actions
Docker
Kubernetes
Python
Bash
SQL
CI/CD
DevOps
Infrastructure as Code
Model Governance
Observability
Grafana
CloudWatch
Transformer Neural Networks
Agile
Scrum
Kanban
NLP
IoT
Feature Engineering
Inference

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Work requirements

Jobs in Canada