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Design and deploy enterprise AI systems for banking, integrating LLMs and ML platforms with core financial systems while ensuring regulatory compliance and scalability.
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
Build and deploy AI systems for a Saudi real-estate platform: integrate LLMs, design RAG pipelines, and ship production-ready analytics tools for commercial, retail, and residential portfolios.
Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.
Design and implement AI solutions for banking data using Python, LangChain, LlamaIndex, LLMs, and vector databases to deploy enterprise AI initiatives.
Build and maintain Intel's agentic AI platform, writing production code for UI, APIs, and services that help enterprises deploy AI agents on Intel hardware.
Builds and deploys Python backend services for AI/ML apps, integrating models, APIs, and databases to move prototypes into production.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Build and maintain full-stack Java/Python applications for Fitch’s core data and ratings platform, using React/TypeScript on the frontend and Spring Boot or Python APIs on the backend.
Builds full-stack Java/Spring Boot and React/TypeScript apps for Fitch’s core ratings and data platform, integrating APIs, cloud services, and AI tools to ensure scalable, secure, and high-performing financial data solutions.
Build and maintain full-stack Java/Python applications and data services for Fitch’s core ratings and data platform, using React/TypeScript, Spring Boot, and cloud-native tools.
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize full-stack web and mobile platforms alongside AI-driven features like recommendations and chat interfaces using React/Next.js, Node.js, and LLM tools.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and optimize end-to-end data pipelines on Azure and Databricks, integrating data for analytics and AI use cases using Python, Spark, and SQL.
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