Job Description
Role: AI Engineer Location: Toronto, ON Fulltime Experience level: 5 to 10 Years Key expectations
Deep expertise in LLMs, RAG, embeddings, agentic frameworks Experience with fine-tuning, model evaluation, and AI Ops (end-to-end lifecycle) Robust background in deep learning, NLP, and information extraction Ability to build real-world AI use cases (not just PoCs) Candidates who can operate as strong individual contributors with ownership Must-have
5+ years of experience building Deep Learning or Machine Learning models. In depth knowledge of Machine Learning , deep learning and Generative AI. Ability to function as the primary contributor building Generative AI solutions alongside the team while guiding the rest of the team on best practices, code reviews etc. In depth knowledge of Machine Learning, NLP, Information extraction etc. Knowledge or understanding of Embeddings, Re-rankers, agentic frameworks etc. Knowledge or understanding of Inferencing, fine-tuning, model ...
Deep expertise in LLMs, RAG, embeddings, agentic frameworks Experience with fine-tuning, model evaluation, and AI Ops (end-to-end lifecycle) Robust background in deep learning, NLP, and information extraction Ability to build real-world AI use cases (not just PoCs) Candidates who can operate as strong individual contributors with ownership Must-have
5+ years of experience building Deep Learning or Machine Learning models. In depth knowledge of Machine Learning , deep learning and Generative AI. Ability to function as the primary contributor building Generative AI solutions alongside the team while guiding the rest of the team on best practices, code reviews etc. In depth knowledge of Machine Learning, NLP, Information extraction etc. Knowledge or understanding of Embeddings, Re-rankers, agentic frameworks etc. Knowledge or understanding of Inferencing, fine-tuning, model ...