Jobs in Canada

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Added 2 months ago
Senior Software Engineer/ Software Developer (Backend)
PlayStation Global
Waterloo, ON
We are seeking a Senior Backend Software Engineer to help define the architecture, services, data models, and technical standards that power our new consumer experiences.
Added 2 months ago
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Satellite C&DH System Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Contract
- Remote
We are seeking an experienced Satellite Command & Data-Handling (C&DH) System Engineer to support the design, integration, verification, and operation of onboard command, control, and…
Added 2 months ago
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Satellite TT&C/PDT Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Montreal, QC
- Contract
Candidates must have strong hands-on experience with satellite TT&C/PDT systems
Added 2 months ago
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Senior Optical Characterization and Test Engineer
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Position Title: Senior Optical Characterization and Test Engineer
Added 2 months ago
CC
Software Developer-Embedded--Onsite Position
Curtiss-Wright Corporation
Ottawa, ON · Canada-Ottawa
- Full-time
Engineer, Design, Develop and Test new embedded products at the forefront of technology.
Added 3 months ago
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Software Engineer, Full Stack
Gigi
Toronto, ON
- Full-time
We're hiring an AI Builder - a full stack software engineer - to join our engineering team in Toronto and own end-to-end feature development for Gigi, our AI agent.
Added 3 months ago
S
Agentic AI & DevOps Automation Engineer - Robotics Data Platform, Kitchener, ON
Siemens
Kitchener, ON
- Full-time
Are you passionate about using automation, DevOps, and agentic AI to accelerate software development and improve platform reliability? Do you enjoy building CI/CD pipelines, test…
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
A
Senior Design Engineer - Security IP
Arm
Toronto, ON
- Full-time
…partner with verification and implementation peers to build test plans, drive verification closure, support debug, and achieve functional, power, and performance sign…
Added 3 months ago
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AI Enablement Senior Engineer
Electric Mind
Toronto, ON
- Full-time
…of the AI adoption across multiple client teams. The Senior Engineer mentors technical client team members (Developers, Quality Engineers, ...) on the optimal use of tools and techniques…
Added 3 months ago
EM
Senior Business Analyst
Electric Mind
Toronto, ON
- Full-time
Coordinate with the Senior Engineer and QE support so requirements and implementation outputs are usable for downstream story development and test generation
Added 3 months ago
ES
Generalist Software Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
As our Games Software Engineer you will report to the team's Development Director. You will work on complex problems with Producers, Designers, Artists and other Engineers in domains…
Added 2 months ago
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Quality Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Starfield
- Full-time
Design test fixtures and software solutions to expedite execution of testing
Added 2 months ago
Software Developer IV, Data
ACV
Toronto, ON
The ideal candidate has a strong foundation in software development, database design, multi-cloud environments, and in-memory data technologies. You bring deep technical expertise in…
Added 2 months ago
PT
Mechanical Engineer III
Pioneer Transformers Mississauga
Mississauga, ON
- Full-time
The Mechanical Design Engineer is responsible for the independent design, development, and optimization of transformers and related components. As a fully competent engineer, the Design…
Added 2 months ago
Quality Manager- Final Assembly Line (FAL)
Westerkirk
Calgary, AB
Accreditation as a Certified Quality Manager or Engineer is considered an asset
Added 2 months ago
Quality Control Line Lead - FAL
Westerkirk
Calgary, AB
Collaborate with the facility and IT teams to provide the necessary hardware and software infrastructure for quality control activities.
Added 2 months ago
A
Automation QA Engineer (Lead)
AlgaeCal
Remote, Canada
- Full-time
- Remote
…sees them. You can spot flaky tests from a mile away. Your test architecture is clean, scalable, and easy for other developers to follow. And when it comes to troubleshooting, you’re…
Added 2 months ago
RI
Head of Growth & Product Marketing
RYSE Inc
Remote, Canada
- Full-time
- Remote
We develop hardware products from the ground up, working across product design, engineering, manufacturing, software, marketing, and sales.
Added 2 months ago
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Fullstack Engineer (Java)
TEKsystems
Toronto, ON
- $80 to $90 CAD / hour
- Contract
…Assurance teams, and fellow developers to design, develop, test, and deliver innovative software solutions. This position focuses on new feature development and application enhancement,…
Added 3 months ago
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Software Product Assurance Developer
Syntronic
Brampton, ON
- Temporary
4 days per week on-site
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…
Added 4 months ago
OT
Intégrateur de Systèmes – Intégration Mobilité / Systems Integrator – Integration Mobility
OPAL-RT TECHNOLOGIES India Pvt. Ltd.
Montreal, QC
- Other
Minimum 1 jour par semaine au bureau
Added 2 months ago
Senior Core Java Engineer
Capgemini
Montreal, QC
We are seeking a Senior Core Java Engineer to design, develop, and support high-performance, scalable enterprise applications. The ideal candidate will have strong expertise in Core Java,…
Added 2 months ago
Senior Stress Engineer
L3Harris Technologies
Mirabel, QC
Job Schedule: Day Shift

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

Applications open in a new tab.

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