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OSEDEA —Montréal, QC
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- Computer Science
- Flexible schedule
Senior Software Developer, Data & MLOps
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Flexible schedule

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Senior AI Developer

OSEDEA -
Montréal, QC

Apply Now

Job details

Full-time

Qualifications

French
TensorFlow
Azure
Go
Doctoral degree
Computer Science
Software Engineering
React
PyTorch
Kanban
Engineering
NumPy
Java
Master's degree
Pandas
AWS
JavaScript
Natural language processing
Angular
Software development
APIs
Keras
AI
Python
Time management

Full 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 AI Developer, you build production-grade AI features and systems for enterprise clients. You bring disciplined software development practices, strong applied AI skills, and the ability to take ownership from design through delivery. You collaborate across roles, mentor teammates, and help teams make pragmatic technical decisions that lead to reliable solutions in production.

The technologies below are a reference point for our stack. Above all, we hire for strong fundamentals, autonomy, and the potential to grow.

Your key responsibilities

Develop and deliver AI-driven software solutions for clients
Identify opportunities to integrate AI technologies into products and workflows
Implement solutions following specifications and documentation (SRS, C4)
Define and communicate non-functional requirements and quality targets
Build robust ML pipelines and production integrations (APIs, services, data flows)
Coach colleagues on AI implementation patterns and engineering best practices
Take initiative, own tasks end-to-end, and drive execution with strong time management
Uphold and reinforce software development guidelines, code quality, and testing standards
Research, test, and implement new models, tools, and approaches
Consult with clients on technical decisions, trade-offs, and delivery plans

The ideal candidate

5+ years of software development experience, including 3+ recent years delivering AI/ML work (Deep Learning, Computer Vision, NLP, Generative AI, Predictive Analytics, etc.)
Master’s (or PhD) in Computer Science / Software Engineering specialized in AI, or equivalent experience
Intermediate or conversational French (minimum)

You should be proficient with

Python 3
Key Python libraries (NumPy, Pandas, PyTorch, Scikit-learn)
Data analysis, cleaning, processing, and augmentation
Deep learning frameworks (TensorFlow, Keras, PyTorch)
AI services on at least one cloud platform (AWS, Azure, Google Cloud, etc.)
MLOps practices (deployment, monitoring, automation, CI/CD)
Testing (unit, functional, E2E, etc.)
Development methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)

It’s a plus if you have experience with

Go, Java and/or JavaScript
Enterprise software development
In-memory storage, caching, and queue systems
Microservices and serverless systems
Domain-driven design
A modern client-side framework/library (Angular, React, Svelte, etc.)

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

1. 20 min - Initial introductory call with a person from our technical team.

2. 90 min - In-person interview at our office

3. Offer presentation

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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