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python pytorch llms retrieval-augmented generation graph_embeddings📋 Description
- Conduct applied research using LLMs, graphs, and multimodal AI.
- Design, prototype, and productionize state-of-the-art AI systems.
- Build AI platforms for Customer OS and Retail OS.
- Translate business problems into robust AI solutions with a product focus.
- Collaborate with engineering, product, and business teams to deploy AI.
- Design hybrid architectures with knowledge graphs, vector search, and DL.
🎯 Requirements
- Bachelor's, Master’s, or PhD in Computer Science, Machine Learning, Data Science, or related field.
- Strong Python and PyTorch; production-grade AI experience.
- Experience with knowledge graphs, graph embeddings, or graph neural networks.
- Experience building advanced RAG systems using vector databases and knowledge sources.
- Strong understanding of LLMs, embeddings, and fine-tuning techniques.
- Experience deploying AI systems in enterprise or large-scale production environments.
🎁 Benefits
- Hybrid flexibility: 4 days per week in downtown Toronto office.
- 100% coverage for health, dental, and vision insurance for you and dependents from day one.
- Equal-opportunity employer; committed to diversity, inclusion, and accessibility.
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