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About the Role:
- We are hiring a Senior ML Engineer to build our customer-facing AI platform and get the first features into customers' hands.
- Our data runs at real scale: over 100 million product and pricing records a day from retailers and marketplaces worldwide.
- The problems are concrete: product matching, classification, attribute extraction, where the right answer mixes trained models, embeddings, retrieval, and LLMs.
What You Will Do:
- Take customer problems from idea to working prototype quickly, prove or kill with data, and move what works into production.
- Train, fine-tune, and evaluate models for matching, classification, and extraction using classical ML, embeddings, and LLMs.
- Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS, owning the full ML lifecycle.
Qualifications:
- 7+ years in ML engineering, applied data science, or AI engineering with a track record of shipping to production.
- Hands-on experience with LLMs, RAG, embeddings, vector databases, and MLOps tooling like MLflow or SageMaker.
- Strong Python and engineering habits: version control, testing, CI/CD, and daily use of AI coding assistants.
Additional Information:
- Base pay part of total compensation, established individually based on experience, education, and geography.
- Hiring range for base annual pay is CAD $160-200k with performance-based bonuses.
- This job is available remotely in a professional office environment.
Wiser Solutions
Wiser Solutions is a competitive intelligence platform that brands, retailers, and marketplace sellers use to win more sales online. It serves brands and retailers globally, providing real-time visibility into pricing, product availability, and promotions.