Applied AI Scientist

OSEDEA

Montreal

Remote

CAD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive salary plus RRSP plan

Flexible hours and remote work options

Work from anywhere up to 8 weeks

Paid sabbatical

Wellness and productivity spending

Parental program

Training and development

And more...

Job summary

Osedea is seeking an Applied AI Scientist to design, build, and deploy AI solutions that tackle client problems with enterprise-grade quality. You will blend software engineering discipline with hands-on AI/ML expertise, moving from exploration to production while collaborating with cross-functional teams and mentoring peers.

You’ll work across a modern stack including Python, PyTorch, TensorFlow, and cloud AI services, contributing to non-functional requirements and best practices.

Qualifications

5+ years of software engineering experience, including 3+ recent years working hands-on with AI/ML (Deep Learning, Computer Vision, Speech and Language Processing, Agentic AI, Predictive Models, Time Series, etc.)
Master’s or PhD in Computer Science / Software Engineering specialized in AI, or equivalent experience
Intermediate or conversational French (minimum)

Responsibilities

Build and deploy AI solutions that deliver measurable business impact
Identify high-value opportunities to apply AI technologies and tooling
Develop software aligned with specifications and documentation (SRS, C4)
Define, document, and communicate non-functional requirements (performance, reliability, security, maintainability)
Turn experiments into production-ready components (evaluation, monitoring, iteration)
Coach colleagues on applied AI best practices and implementation approaches
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, models, and tools
Advise clients on technical direction, trade-offs, and solution design

Skills

Python 3

NumPy

Pandas

PyTorch

Scikit-learn

TensorFlow

Keras

ML ops

CI/CD for ML

AWS

Azure

Google Cloud

Education

Master's or PhD in Computer Science / Software Engineering specialized in AI

Tools

Cloud platforms

Git

Docker

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 an Applied AI Scientist, you design, build, and ship AI solutions that solve real client problems. You combine strong software engineering habits with hands-on AI/ML expertise, and you’re comfortable moving from exploration to production. You collaborate closely with technical and non-technical teammates, mentor others, and help teams make sound technical decisions as we deliver enterprise-grade AI software.

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

Your key responsibilities

Build and deploy AI solutions that deliver measurable business impact
Identify high-value opportunities to apply AI technologies and tooling
Develop software aligned with specifications and documentation (SRS, C4)
Define, document, and communicate non-functional requirements (performance, reliability, security, maintainability)
Turn experiments into production-ready components (evaluation, monitoring, iteration)
Coach colleagues on applied AI best practices and implementation approaches
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, models, and tools
Advise clients on technical direction, trade-offs, and solution design

The ideal candidate

5+ years of software engineering experience, including 3+ recent years working hands-on with AI/ML (Deep Learning, Computer Vision, Speech and Language Processing, Agentic AI, Predictive Models, Time Series, 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
Core 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 major cloud platform (AWS, Azure, Google Cloud, etc.)
MLOps (training, deployment, monitoring, reproducibility, CI/CD for ML)
Testing practices (unit, functional, E2E, etc.)
Modern development methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)

It’s a plus if you have experience with