REQUIRED LOCATION: HYBRID/ HYBRID TORONTO, ON 4 DAYS A WEEK

* We need: AI Scientists with deep expertise in Generative AI, Neural networks, and transfer learning to support a strategic data analytics platform. This role will lead the design and development of cutting-edge ML models and architectures involving zero-shot/few-shot learning and retrieval-augmented generation (RAG). * I WANT TO SEE ALL QUALIFIED CANDIDATES SO PLEASE SEND EVEN IF OVER THE TARGET RATE. This position is very hands on and candidates will do at least 80% coding. Integrate Generative AI frameworks (e.g., RAG, LangChain, LlamaIndex) into front-office tools used by Research, Sales, and Trading teams.
seeking an AI Scientist with deep expertise in Generative AI, neural networks, and transfer learning to support a strategic data analytics platform. This role will lead the design and development of cutting-edge ML models and architectures involving zero-shot/few-shot learning and retrieval-augmented generation (RAG).
Hybrid Schedule: In-office 3 days per week

Key Responsibilities:

• Research, develop, and deploy Generative AI models for enterprise-scale use cases in capital markets.
• Design and optimize architectures involving RAG, fine-tuning, and multi-model orchestration.
• Apply zero-shot and few-shot learning using foundation models and prompt engineering strategies.
• Collaborate with engineering, data science, and product teams to productionize AI capabilities.
• Monitor model performance, conduct A/B testing, and ensure model robustness and compliance.

Must-Have:

• 3+ years of experience in applied AI/ML, including recent hands-on work with LLMs, transfer learning, and Generative AI architectures.
• Strong understanding of transformer-based models and deep learning frameworks.
• Experience with RAG systems, model fine-tuning, and large-scale deployment.
• Proficiency in Python, PyTorch, Hugging Face Transformers, and modern MLOps practices.
• Familiarity with scalable system design for AI/ML workflows.
• Experience in financial services, capital markets, or enterprise data platforms.

Job Types: Full-time, Permanent, Fixed term contract
Contract length: 12 months
Pay: $120,000.00-$150,000.00 per yea

• Research, develop, and deploy Generative AI models for enterprise-scale use cases in capital markets.
• Design and optimize architectures involving RAG, fine-tuning, and multi-model orchestration.
• Apply zero-shot and few-shot learning using foundation models and prompt engineering strategies.
• Collaborate with engineering, data science, and product teams to productionize AI capabilities.
• Monitor model performance, conduct A/B testing, and ensure model robustness and compliance