Jobs in Canada

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Added 2 months ago
Staff Software Engineer, Machine Learning Platform
Stripe
Toronto, ON
…tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital,…
Added 2 months ago
DevOps Engineer
Later
Vancouver, BC
Partner with engineering, data, and ML teams to ensure scalability, reliability, security, and automation are built into both application infrastructure and machine learning workflows.
Added 6 months ago
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Senior Specialist, Data Modeler – OT & Industrial Automation
Vale
Greater Sudbury, Ontario
- Full-time
Identify and prepare OT data sources for machine learning and AI initiative
Added 5 months ago
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Senior Millwright
Napoleon
Barrie, Ontario
- Full-time
Execute major overhauls, machine changeover, calibrations, and alignments, taking accountability for equipment performance
Added 6 months ago
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AI Engineer - Remote
Huzzle
Remote, Canada
- Full-time
- Remote
…experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems,…
Added 6 months ago
S
Associate AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office
Added 4 months ago
Q
Systems Architecture, Senior to Staff – Agentic AI
Qualcomm
Markham, Ontario
- Full-time
Leverage experience in DSP, machine learning algorithms, SoC hardware and computer architecture concepts to develop proposals to address system Edge-AI requirements. Strong knowledge of…
Added 6 months ago
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Senior Supply Chain Security Engineer (East Coast Preferred)
Docker
Remote, Canada
- Full-time
- Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 6 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 6 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the…
Added 6 months ago
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Senior AI Product Manager
Litmus
Remote, Canada
- $125,000 to $140,000 CAD / year
- Full-time
- Remote
…infrastructure that enables real-time data to power AI and machine learning systems in production…
Added 2 months ago
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Digital Procurement Manager (Source-to-Pay)
Agropur
Longueuil, QC · St-Hubert Campus
- Full-time
Experience with AI / machine learning or automation applied to procurement or the supply chain
Added 6 months ago
I(
Senior Data Scientist (Applied AI & Analytics)
ITPS (Canada) LTD
London, Ontario
- Full-time
Design and implement statistical models and machine learning approaches where appropriate
Added 6 months ago
Software Development Manager - AWS Identity & Access, AWS Auth Onboarding Team
Amazon
Vancouver, British Columbia
…compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity…
Added 2 months ago
Senior Software Developer, AI Code Modernization
Bentley Systems
Quebec, QC
Practical experience applying AI, machine learning, inference pipelines, optimization techniques, or intelligent automation to real-world problems.
Added 6 months ago
Manager, Service Engineering
Steris Corporation
Ottawa, Ontario · Stittsville, ON
This role requires onsite work 5 days per week at our Stittsville, Canada location
Added 6 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
As such, you will be required to work from our Ottawa office up to 1 day per week
Added 6 months ago
IE
Senior Machine Learning Engineer
Index Exchange
Toronto, Ontario
- Full-time
We’re looking for a Senior Machine Learning Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our…
Added 6 months ago
IE
Senior Data Scientist
Index Exchange
Toronto, Ontario
- Full-time
We’re looking for a Senior Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide…
Added 6 months ago
NT
Senior Robotics Field Service Technician
Novarc Technologies Inc
Burnaby, British Columbia
- $122,000 to $138,000 CAD / year
Novarc Technologies is looking for a skilled and experienced Senior Robotics Field Service Technician to join our growing team and support the production of our cobots.
Added 6 months ago
PD
Principal Technical Artist
Parallel Domain
Vancouver, British Columbia
- Full-time
…these workflows into production at Parallel Domain. This is a senior individual contributor role: you'll work alongside our rendering, simulation, and content engineers on open-ended…
Added 6 months ago
SD
Chercheur Principal - Chimie Computationnelle / Principal Scientist - Computational Chemistry
Sygnature Discovery
Montreal, Quebec
- Full-time
Added 6 months ago
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Senior / Staff Software Engineer, High-Performance Onboard Algorithms
Waabi
Toronto, ON
- $148,000 to $260,000 USD / year
- Full-time
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.
Added 2 months ago
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Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Mississauga, ON
- Full-time
7+ years' experience in the software industry, with proven success in a senior position such as Principal Engineer (progressive hands-on experience required)
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
7+ years' experience in the software industry, with proven success in a senior position such as Principal Engineer (progressive hands-on experience required)

OSEDEA

Senior Software Developer, Data & MLOps

Montreal, QC, Canada

Full-time

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of software development experience, including recent hands-on experience with data engineering, MLOps, or production ML systems
Posting language: English
Posted: May 12, 2026

Original job description

Who we are

We’re a thriving and agile tech development firm. People are at the center of everything we do. Simply put, we care. Our team personally cares about our clients and the world around them, and we care about our team’s life-long dreams, aspirations, and career development.

We strongly believe in the power of community. This is why we seek opportunities to build meaningful relationships with everyone around us.

We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. We actively innovate, learn, and share stories around the topic. We want everyone to feel welcomed and included in all we do.

We like having fun and enjoying ourselves. We wake up every day inspired to build a more efficient and enjoyable world.

Role overview

As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine strong software engineering habits with hands-on experience in data pipelines, cloud environments, automation, model deployment, monitoring, and production-ready ML systems.

You’re comfortable moving between backend development, data engineering, ML lifecycle practices, infrastructure, CI/CD, observability, and technical leadership. You collaborate closely with technical and non-technical teammates, mentor others, and help teams make sound technical decisions as we deliver enterprise-grade AI and data solutions.

The technologies below are a reference point for our stack. Above all, we hire for strong fundamentals, judgment, ownership, and growth potential.

\nYour key responsibilities

Design, build, and deliver scalable software, data, and machine learning solutions for client projects
Identify solutions to cross-functional problems using your software development, data engineering, and MLOps experience
Design, plan, and implement data pipelines, ML workflows, and supporting cloud or on-premise infrastructure
Develop end-to-end solutions aligned with specifications and documentation
Build and improve CI/CD pipelines, data pipelines, model deployment workflows, and automation practices
Contribute to containerized, virtualized, and cloud-native environments that support data and ML workloads
Support modernization initiatives by improving architecture, testing, deployment, observability, data quality, and maintainability
Define, document, and communicate non-functional requirements such as performance, reliability, security, scalability, and maintainability
Support ML lifecycle practices such as experiment tracking, model versioning, validation, deployment, promotion, rollback, and monitoring
Coach colleagues on software development, data engineering, MLOps, and delivery best practices
Take initiative, own deliverables end-to-end, and manage priorities effectively
Uphold and strengthen software development guidelines and quality standards
Research, test, and implement new techniques, tools, and technologies
Advise clients on technical direction, trade-offs, architecture, data platforms, and ML solution design

The ideal candidate

5+ years of software development experience, including recent hands-on experience with data engineering, MLOps, or production ML systems
Bachelor’s degree, college degree, certification in a software-related field, or equivalent experience
Intermediate or conversational French at a minimum
Strong backend development experience
Strong technical judgment and ability to make pragmatic architectural decisions
Experience building or supporting data pipelines, data platforms, or ML deployment workflows
Experience collaborating directly with clients or stakeholders
Ability to mentor teammates and help raise the quality of technical delivery
Comfortable working in ambiguous environments and bringing structure to complex problems

You should be proficient with

At least one major cloud platform such as AWS, Azure, or Google Cloud
At least one major server-side programming language such as Python, Java, Node.js/TypeScript, Go, C#, or similar
At least one major data engineering platform such as Databricks, Snowflake, BigQuery, Microsoft Fabric, or similar
Backend development, API design, and distributed systems
Data pipeline orchestration, version control, data validation, feature pipelines, or feature stores
ML lifecycle practices such as experiment tracking, model versioning, validation, deployment, promotion, rollback, and monitoring
CI/CD pipelines and deployment automation
Infrastructure as code and provisioning tools such as Terraform, CDK, CloudFormation, Bicep, Ansible, or similar
Virtualization and containerization, ideally in a Linux-based ecosystem
Docker and orchestration tools such as Kubernetes or Docker Compose
Microservices, serverless systems, or cloud-native architectures
Monitoring and observability tooling and services
Testing practices such as unit, integration, functional, end-to-end, or load testing
Modern development methodologies such as Agile, Scrum, XP, Kanban, Shape Up, etc.
Cloud cost awareness, calculation, and optimization

It’s a plus if you have experience with

A modern client-side framework/library such as React, Angular, Svelte, Vue, Remix, or similar
Full-stack web development
LLMOps, RAG systems, vector databases, or GenAI application deployment
Edge computing, IoT, robotics, industrial systems, or hardware-adjacent software
Simulation environments or developer tooling that improves delivery speed
In-memory object storage, caching, and queue systems
Event-driven architecture or messaging systems such as MQTT, Kafka, RabbitMQ, Redis, or similar
Hexagonal architecture
Domain-driven design
High-availability systems
Technical leadership in client-facing projects
Application security, networking, identity, or compliance considerations

What we offer

Competitive Salary and contribution to your pension plan (RRSP)
Flexible hours of work and choose how you work
Work from anywhere up to 8 weeks
Paid sabbatical
Wellness and productivity spending account
Parental program
Activities
Training
And more...

The process for this role if you are selected

20 min - Initial introductory call with our technical team

90 min - In-person interview at our office.

Offer presentation

Only considered candidates will be contacted. Read our full hiring process here.

Apply on jobs.lever.co About employer

More about this job

Responsibilities

Design and deliver scalable software, data, and machine learning solutions for clients. This includes building data pipelines, managing the ML lifecycle, and providing technical leadership and mentorship to the team.

Requirements

Requires 5+ years of software development experience with a focus on data engineering and MLOps, along with a degree in a software-related field. Proficiency in a major cloud platform, server-side languages, and intermediate French is required.

Skills

Data Engineering
MLOps
Python
Cloud Platforms
CI/CD
Kubernetes
Docker
API Design
Distributed Systems
Terraform
Model Deployment
Backend Development
Data Pipelines
Observability
Agile
Technical Leadership

Benefits

Competitive Salary
Flexible Hours
Work From Anywhere Up To 8 Weeks
Paid Sabbatical
Wellness And Productivity Spending Account
Parental Program
Activities
Training

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
Google Cloud
Python
Java
Node.js
TypeScript
Go
C#
Databricks
Snowflake
BigQuery
Microsoft Fabric
Terraform
CDK
CloudFormation
Bicep
Ansible
Docker
Kubernetes
Microservices
Serverless
LLMOps
RAG
Vector Databases
GenAI
Kafka
RabbitMQ
Redis
Agile

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Work requirements

Jobs in Canada