You’ll take AI from idea to production — building the models and AI-powered features that make our platforms smarter, from demand forecasting to recommendations to LLM tooling we and our clients actually use.
What you’ll work on
- Demand forecasting that drives real inventory and staffing decisions
- Recommendation engines inside our customer app
- Computer-vision and analytics on in-store customer behaviour
- LLM-powered assistants and document/image processing tools
What you’ll do
- Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more.
- Design and ship LLM-powered features — RAG pipelines, assistants, document and image processing.
- Take models all the way to production: serving, monitoring, evaluation, and iteration.
- Work with the data team to make sure the right data is available and clean.
- Stay on top of a fast-moving field and bring the best of it into our work.
What we’re looking for
- 5+ years in ML/AI engineering with models shipped to production.
- Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.).
- Hands-on experience with LLMs, embeddings, and retrieval-augmented generation.
- Able to balance research curiosity with practical, shippable outcomes.
- Creative, experimental, and excited to try new approaches.
Nice to have
- Computer vision experience (in-store analytics, product imagery).
- MLOps tooling and cloud deployment.
The setup
- Full-time · Fully remote · Senior level (5+ years) · You’ll work alongside the data and engineering teams to ship AI into production.
