Description

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

Key Skills

Education

Any Gradute