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Senior Software Developer, Machine Learning Specialist

Osedea

Montreal (EN) Hybrid permanent

Posted: December 12, 2025

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Quick Summary

We're looking for a Senior Software Developer with expertise in machine learning to join our team in Montreal, Canada. The ideal candidate will have experience with Python and experience working with large datasets. Strong communication skills and a passion for innovation are also a must.

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 - Machine learning specialist, we expect you to be disciplined regarding software development, and ready and eager to collaborate with and mentor technical and non-technical teammates as you plan, develop, and deliver enterprise AI software solutions for our clients. We expect you to take ownership of your tasks, excel at time management, and be a fast learner, while also focusing on ongoing personal improvement.

The technologies listed below are mentioned to give you a reference point for our stack. Above all else, we look at the personal ability and potential for growth when hiring for this position.


Your key responsibilities:
• Develop bleeding-edge AI-driven solutions
• Identify opportunities to implement AI technologies and tooling
• Develop software according to specifications and documentation (SRS, C4)
• Define and communicate non-functional requirements
• Coach colleagues in their use and implementation of AI technologies
• Confidently take initiative on projects and tasks
• Uphold and reinforce software development guidelines
• Research, test, and implement new techniques and technologies
• Advise and consult with clients about technical decisions and direction.


The ideal candidate:
• Has 5+ years experience as a software developer or engineer with at least 3 recent years in Machine Learning, Deep Learning, Computer Vision, Neural networks, Natural Language Processing, Generative AI and/or Predictive Analysis
• Has a PhD, Master’s degree in Computer science or Software engineering specialized in AI, or equivalent degree or experience.
• Has intermediate or conversational French at a minimum.


You should be proficient with:
• Python 3
• Key Python Libraries (such as Numpy, Pandas, Pytorch and Scikit Learn)
• Data Analysis, Cleaning, Processing and Augmentation
• Deep Learning Frameworks (such as TensorFlow, Keras, and Pytorch)
• AI Services on at least one cloud-hosting platform (AWS, Azure, Google Cloud, etc.)
• Machine Learning Operations
• Application Testing (unit, functional, E2E, etc.)
• Development Methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)


It’s a plus if you have experience with:
• GoLang, Java and/or JavaScript
• Enterprise Software Development
• In-Memory object storage, caching, and queue systems
• Microservices and Serverless Systems
• Domain-Driven Design
• A major modern client-side framework/library such as 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.

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