Who we areWe’re a thriving and agile tech development firm. 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. We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. Role overviewAs 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. Your key responsibilitiesBuild and deploy AI solutions that deliver measurable business impactIdentify high-value opportunities to apply AI technologies and toolingDevelop 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 approachesTake initiative, own deliverables end-to-end, and manage priorities effectivelyUphold and strengthen software development guidelines and quality standardsResearch, test, and implement current techniques, models, and toolsAdvise clients on technical direction, trade-offs,



and solution design The ideal candidate5+ 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 experienceIntermediate or conversational French (minimum) You should be proficient withPython 3Core Python libraries (NumPy, Pandas, PyTorch, Scikit-learn)Data analysis, cleaning, processing, and augmentationDeep 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 withGo, Java, and/or JavaScriptEnterprise software developmentIn-memory object storage, caching, and queue systemsMicroservices and serverless architecturesDomain-driven designA modern client-side framework/library (Angular, React, Svelte, etc.) What we offerCompetitive Salary and contribution to your pension plan (RRSP)Flexible hours of work and choose how you workWork from anywhere up to 8 weeksPaid sabbaticalWellness and productivity spending accountParental programActivitiesTrainingAnd more... 20 min - Initial introductory call with a person from our technical team. 2. 90 min - In-person interview at our office

📌 Applied Ai Scientist (Winnipeg)
🏢 Osedea
📍 Winnipeg