Data Architecture: In-depth knowledge of relational, NoSQL, and vector databases
Python Frameworks: In-depth knowledge of Python-based frameworks for data analysis and distributed systems
Generative AI & LLM: Hands-on experience with generative AI and large language models (LLMs) to design intelligent solutions for financial services use cases
Machine Learning Frameworks: Good to have knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch)
Microservices & Containers: Solid understanding of microservices architecture and container orchestration (Docker, Kubernetes)
DevOps Practices: Strong background in DevOps practices and tools (CI/CD, Jenkins, GitOps, etc.)
Research Mindset & Innovation: Demonstrated ability to adopt a research-oriented approach to incubate, experiment with, and validate emerging technologies and solutions that address complex business challenges
