AI Scientist

Overview

$DOE
Accepts corp to corp applications
Contract - W2
Contract - 12

Skills

python
Machine Learning
Pytorch
AI
ML
AI/ML
Generative
RAG systems
model fine-tuning

Job Details

Job Description:

RBC Capital Markets is 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
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