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Added 4 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Added 4 months ago
M
Director, Data Science
Mastercard
Toronto, Ontario
- Full-time
Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake.
Added 4 months ago
F
Technical Content Developer (AI)
Fortinet
Burnaby, British Columbia
- Full-time
…data everywhere. We are currently seeking a Technical Content Developer with AI Expertise to contribute to the success of our rapidly growing…
Added 1 month ago
IF
Senior Full-Stack Software Developer (Python/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full-Stack Software Developer (Python/React) to join our growing AI Engineering team and build reliable, scalable AI-powered products across distributed systems,…
Added 4 months ago
IF
Observability / DevOps Advisor
Intact FC
Montreal, Quebec · Saint-Hyacinthe, Quebec
- Full-time
At least 5 years of experience in a developer, DevOps, and/or observability role;
Added 4 months ago
A
Intermediate Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
Strong fundamentals in testing, Git, and at least one of Python, TypeScript, or C#.
Added 4 months ago
Robotics - Software Development Engineer
Amazon
Toronto, Ontario
- Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 4 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 5 months ago
F
Full Stack Web Developer
Fortinet
Burnaby, British Columbia
- Full-time
We are currently looking for a Full Stack Web Developer to join the web development team.
Added 1 month ago
C
Python AI Engineer (Hands-On)
Citi
Mississauga, ON
- Full-time
Contribute to the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, Node.js, and TypeScript.
Added 1 month ago
C
Python AI Engineer (Hands-On)
Citi
Remote, Canada
- Full-time
- Remote
Contribute to the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, Node.js, and TypeScript.
Added 5 months ago
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Développeur.se, Développement d'applications IA / AI Applications Developer
Mila - Institut québécois d'intelligence artificielle
Remote, Canada
- Full-time
- Remote
Développer des fonctionnalités backend (Python/FastAPI, APIs, intégrations de bases de données ou vector databases).
Added 1 month ago
C
Senior Python AI Engineer (Hands-On), VP
Citi
Mississauga, ON
- Full-time
Lead the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, Node.js, and TypeScript.
Added 1 month ago
C
Senior Python AI Engineer (Hands-On), VP
Citi
Remote, Canada
- Full-time
- Remote
Lead the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, Node.js, and TypeScript.
Added 3 months ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Montreal, Quebec
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 1 month ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
…credit risk modeling, model risk management as well as AI/ML/GenAI modeling for financial…
Added 5 months ago
P
Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
…credit risk modeling, model risk management as well as AI/ML/GenAI modeling for financial…
Added 6 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
Added 1 month ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical…
Added 1 month ago
C
Forward Deployed Engineer, Sovereign AI
Cohere
Remote, Canada
- $175,000 to $385,000 CAD / year
- Full-time
- Remote
…value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data…
Added 1 month ago
MS
GenAI and Python Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a GenAI and Python Developer to lead the strategy, architecture, delivery, and evolution of complex technology solutions while driving engineering…
Added 1 month ago
MS
GenAI and Python Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a GenAI and Python Developer to lead the strategy, architecture, delivery, and evolution of complex technology solutions while driving engineering…
Added 4 months ago
TA
GenAI Data Engineer
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.
Added 1 month ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
…championing the team’s evolving role in a rapidly advancing GenAI…
Added 3 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.

OSEDEA

Senior Software Developer, Data & MLOps

Montreal, QC, Canada

Full-time

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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 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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