Applied AI Scientist - Montreal - Osedea Inc.

    Osedea Inc.
    Osedea Inc. Montreal

    1 week ago

    Full time
    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
    • phold 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, 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
    • 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

    • Go, Java, and/or JavaScript
    • Enterprise software development
    • In‑memory object storage, caching, and queue systems
    • Microservices and serverless architectures
    • 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.


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