Lead the design, development, and deployment of Python and Generative AI solutions, including sophisticated Retrieval-Augmented Generation (RAG) architectures and conversational AI agents using models like Claude.
Architect and implement scalable AI/ML workflows, managing the end-to-end lifecycle of models from training to production deployment.
Develop and integrate services with Multi-Cloud Platforms (MCPs), ensuring seamless operation and communication between different cloud environments and on-premise systems.
Build robust data integration pipelines to connect AI models with enterprise data sources, including large-scale Oracle databases.
Apply deep knowledge of software design patterns and Python best practices to create modular, high-performance, and maintainable code.
Actively drive innovation by exploring and implementing the latest advancements in Gen AI, pushing the boundaries of what's possible in financial forecasting.
Collaborate in an Agile environment with cross-functional teams to translate complex business requirements into powerful and reliable AI features.
Champion performance improvement and system optimization, ensuring our AI solutions are both powerful and efficient.