platforms. Integrate the chatbot with existing financial systems and databases to deliver real-time, accurate insights. Experience: Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.). Strong Python programming skills, including libraries like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk More ❯
Processing: Implement ETL pipelines and real-time data processing to support AI solutions. AI Solution Integration: Enhance enterprise applications with AI services like Azure OpenAI and Cognitive Services for automation and analytics. API Development: Create secure and efficient RESTful APIs for AI and enterprise applications, deploying solutions using Azure services … solution integration, Data Science, and Data Engineering, including API development (REST, GraphQL). Cloud Services Knowledge: Hands-on experience with Azure services, including Azure OpenAI, AKS, and Azure Container Apps. Database Proficiency: In-depth knowledge of SQL and NoSQL databases (Azure Cosmos DB, PostgreSQL) and cloud storage solutions. Microservices & CI More ❯
