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OSEDEA

Posted 4 months ago

Open

Senior AI Developer

MontrealOn-siteFull-time

AI Summary

Senior AI Developer who builds production-grade AI features and systems for enterprise clients, taking ownership from design through delivery and mentoring teammates.

About this role

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...

    • Skills

    Agile, Scrum, XP, Kanban, Shape UpAI Services On Cloud Platforms (AWS, Azure, Google Cloud, Etc.)CachingDeep Learning Frameworks (TensorFlow, Keras, PyTorch)Domain-Driven DesignGOIn-memory StorageJavaJavaScriptMicroservicesMLOps Practices (deployment, Monitoring, Automation, CI/CD)Modern Client-side Framework (Angular, React, Svelte)NumPyPandasPython 3PyTorchQueue SystemsSciKit-LearnServerless SystemsUnit, Functional, E2E Testing

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