Jobs in Canada

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Added 1 hour ago
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Senior Full Stack Software Engineer
CanadaVisa
Remote, Canada
- Full-time
- Remote
Our principal stack is Node.js, TypeScript, React/Next.js, and PostgreSQL on Google Cloud, with Python/FastAPI for specialist AI and document-processing services. Parts of our publishing…
Added 3 hours ago
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Senior Software Engineer - Integrations - AI/ML
ClickHouse
Remote, Canada
- $147,000 to $238,000 USD / year
- Full-time
- Remote
…increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure…
Added 4 hours ago
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SoC Verification Engineer
Blumind
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…Our chips pair digital control, memory, and interface logic with ultra-low-power analog AI compute, so verification at Blumind goes beyond a conventional digital flow: you will build UVM…
Added 5 hours ago
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Staff FPGA Engineer
Cognichip
Toronto, ON
- $184,000 to $222,000 CAD / year
- Full-time
…Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If you thrive on pushing the envelope of the…
Added 8 hours ago
BR
Perception Engineer
BHF Robotics
Markham, ON
- Full-time
Proficiency in C++, Python, or other relevant programming languages, with solid skills in object-oriented software development.
Added 9 hours ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…loss through infrared imaging replaces generic assumptions with precise, measured data: actual R-values, quantified energy loss, and data-driven retrofit plans with exact payback…
Added 11 hours ago
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Senior / Staff Software Developer, Full Stack (Backend & AI)
Dialogue
Montreal, QC
- Full-time
Your role as a Senior / Staff Software Developer, Full Stack (Backend & AI)
Added 12 hours ago
TC
Lead Developer, Research & Development
The Citco Group Limited
ON · ON, Canada
- Full-time
…our industry, and shape its future. From working exclusively with hedge funds to serving all alternatives, corporations and private clients, our organization has grown immensely across…
Added 12 hours ago
OI
Senior Software Engineer
Odaia Intelligence Inc.
Vancouver, BC
- Full-time
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
Added 12 hours ago
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Senior Manager, Data Science & Analytics
eBay
Toronto, ON
- Full-time
…team in San Jose. In this role, you will be a technical leader with vision and a domain pioneer. You will drive advanced AI innovation to optimize campaigns and create significant business…
Added 13 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $77 to $83 CAD / hour
- Full-time
Experience with scikit-learn or comparable Python ML libraries.
Added 13 hours ago
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Manager, AI Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
Hybrid with 2-3 days per week onsite
Added 13 hours ago
IC
Intermediate Data Scientist
Infotek Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $55 CAD / hour
- Contract
This role is approximately 60% Data Science and 40% Data Analytics/Business Intelligence, with a strong emphasis on Python-based data analysis, large-scale data processing, and analytical…
Added 14 hours ago
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Intermediate DevOps Engineer
MDA
Richmond, BC
- Full-time
…industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications…
Added 14 hours ago
NT
Intermediate Machine Learning Developer
Novarc Technologies Inc.
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As an Intermediate Machine Learning Developer, reporting to the Development Manager, AI/Robotics, you will be responsible for building and deploying perception, classification,…
Added 14 hours ago
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Software Developer - Senior
Joblinxsapp
Toronto, ON
- Full-time
Familiarity with Python and machine learning libraries.
Added 16 hours ago
C
Associate AI Scientist , Technology Leadership Advancement Program(TLAP)
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 17 hours ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data…
Added 17 hours ago
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Principal Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Expert ‑ level experience with modern ML tools and ecosystems (e.g., Python, PyTorch , cloud ML platforms, distributed training/inference systems, and scalable data pipelines)
Added 18 hours ago
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RQ11580 – AI/ML Engineer (LLM, Python, Databricks) | Ontario Government | Onsite Toronto
Amyantek
Toronto, ON
- Contract
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 19 hours ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 19 hours ago
RT
Senior Software Developer
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 19 hours ago
A
Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)
AceStack
Toronto, ON
- Full-time
Must Have Technical/Functional Skills
Added 20 hours ago
IS
AI/ML Lead (Sagemaker)
Iris Software Inc.
Toronto, ON
- Contract
Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers,…
Added 20 hours ago
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Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This is a full-time, hybrid position, working in our Toronto office three days per week

MDA

Intermediate DevOps Engineer

Richmond, BC, V6V 2J3, Canada

The compensation range for this position is $78,000 - $108,000 annually. · Full-time

Apply on recruiting.ultipro.ca About employer

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Job details

Pay: The compensation range for this position is $78,000 - $108,000 annually.
Job type: Full-time
Experience: 3+ years of software development experience with at least 2 years focused on MLOps
Posting language: English
Posted: Nov 9, 2026

Original job description

ABOUT MDA SPACE

Building the space between proven and possible, MDA Space is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The global MDA Space team of more than 4,000+ space experts has the knowledge and know-how to turn an audacious customer vision into an achievable mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we’ll take you there. For more information, visit www.mda.space.

The Position

We are looking for a DevOps Specialist with experience with MLOps to bridge the gap between machine learning development and production engineering. In this role, you will design, build, and maintain the infrastructure and tooling that enables our AI and ML Analysts and Engineers to rapidly develop, deploy, monitor, and iterate on machine learning models at scale.

The DevOps Specialist is a core member of the Geointelligence DevSecOps and MLOps team. You will work at the intersection of Software Engineering, DevOps, and Machine Learning – ensuring our AI and ML systems are reliable, reproducible, and efficient. This is a high-impact role that will shape how we deliver AI – powered products to our customers.

Responsibilities:

Platform

Design and evolve a scalable, secure MLOps platform that include model registry, CI / CD / CT, feature store, experiment tracking, and monitoring built on Kubernetes, Terraform for both on premise and cloud (AWS)
Develop reusable infrastructure-as-code modules for data ingestion, model serving, and auto scaling.

Model Lifecycle Management

Implement automated CI / CD pipelines that take model code, data schemas, and container images from development to production with minimal down time
Integrate model versioning with data lineage and meta data tracking

Operational Excellence

Build observability platform for latency, throughput, drift detection, and resource utilization of live models
Develop automated alerts and self healing mechanisms for model anomalies or hardware failures

Collaboration and Enablement

Partner with AI / ML Analysts to translate research notebooks into production ready pipelines, providing tooling, best practice guidance, and code reviews
Collaborate with Corporate IT, Technical Governance, and Platform Products to up-skill teams on MLOps best practices and platform usage.

Security and Compliance

Implement data encryption in transit and at rest, role-based access control, and secure secret management meeting both government and industry standards.
Participate in risk assessments and support audit activities for Geointelligence AI and ML systems.

Continuous Improvement

Evaluate emerging technologies and recommend adoption where they add measurable value
Contribute to open source components and publish internal libraries to foster a reusable ecosystem

Qualifications/ Requirements:

Sc in Computer Science, B.Eng Engineering, Data Science, or related field
3+ years of software development experience with at least 2 years focused on MLOps
Proficiency in Python and at least one compiled language such as C / C++, Go, Rust
Proficiency with Docker containers and Kubernetes
Infrastructure as code (Terraform, Ansible)
CI / CD / CT tooling
Model serving frameworks
Experiment / metadata tracking
Monitoring and Observability
Cloud Platform
Experience with AWS services for compute including EKS, storage, and AI / ML e.g. SageMaker / Bedrock
Excellent communication – the ability to translate technical concepts for non-technical stakeholders
Proactive problem solver, comfortable working in a fast paced, mission critical environment

Comments/Special Considerations:

Successful candidates must obtain and hold security clearance at the reliability status level, and pass security assessment for the Controlled Goods Program (CGP).

We’re a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join #TeamMDA to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you’re excited to expand our place in space and driven to inspire the next generation, we’ll take you there.

We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA’s and Canada’s leadership in this next golden age.

MDA provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including; extended healthcare and flexible drug plans, dental and vision benefits, disability income protection, life insurance, group retirement savings plans; and an employee and family assistance program.

MDA is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs.

The compensation range for this position is $78,000 - $108,000 annually. The specific compensation offered will be based on the qualifications and experience of the successful candidate.

#Sp #IND

Apply on recruiting.ultipro.ca About employer

More about this job

Responsibilities

Design and maintain a scalable MLOps platform to enable the development, deployment, and monitoring of machine learning models. Collaborate with AI/ML analysts to translate research into production-ready pipelines while ensuring system reliability and security.

Requirements

Requires a degree in Computer Science, Engineering, or Data Science with at least 3 years of software development experience, including 2 years in MLOps. Proficiency in Python, containerization, and infrastructure-as-code tools is essential.

Skills

DevOps
MLOps
Python
Kubernetes
Terraform
AWS
CI/CD
Docker
Infrastructure as code
Model lifecycle management
Observability
Data lineage
Ansible
C++
Go
Rust

Benefits

Extended healthcare
Flexible drug plans
Dental benefits
Vision benefits
Disability income protection
Life insurance
Employee and family assistance program

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
Python
Kubernetes
Terraform
AWS
CI/CD
Docker
Infrastructure as code
Model registry
Feature store
Observability
Ansible
C++
Go
Rust
EKS
SageMaker
Bedrock
Geointelligence
DevSecOps
Data lineage
Metadata tracking
Drift detection
Role-based access control
Security clearance
Controlled Goods Program
Software engineering
Machine learning
Cloud computing

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Work requirements

Jobs in Canada