Job Description
Shape next-gen intelligent features as a Senior Machine Learning Engineer in Toronto. Collaborate within a hybrid model, developing impactful RAG solutions for tax and legal research.
This role requires extensive experience, where you will design, develop, and deploy end-to-end machine learning systems. Engage with data scientists and software engineers, implementing state-of-the-art techniques like deep learning and NLP in real-world applications. Enhance our ML standards through mentorship, code review, and innovative exploration.
Key Responsibilities: • Design and deploy end-to-end machine learning systems • Write high-quality ML code while mentoring peers • Collaborate on deep learning and NLP applications • Share knowledge and improve ML engineering practices • Stay updated on industry trends and innovations
Requirements: • 8+ years in machine learning engineering • Strong Python programming skills and ML fundamentals • Experience with RAG and agentic AI...
This role requires extensive experience, where you will design, develop, and deploy end-to-end machine learning systems. Engage with data scientists and software engineers, implementing state-of-the-art techniques like deep learning and NLP in real-world applications. Enhance our ML standards through mentorship, code review, and innovative exploration.
Key Responsibilities: • Design and deploy end-to-end machine learning systems • Write high-quality ML code while mentoring peers • Collaborate on deep learning and NLP applications • Share knowledge and improve ML engineering practices • Stay updated on industry trends and innovations
Requirements: • 8+ years in machine learning engineering • Strong Python programming skills and ML fundamentals • Experience with RAG and agentic AI...
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