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Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and…
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Lead a team of AI engineers to design and deploy enterprise-scale Agentic AI and GenAI solutions for Fortune 500 clients, setting MLOps standards and advising C-level executives on AI strategy.
Designs and deploys LLM-powered agents and copilots, builds RAG pipelines, and integrates vector databases for client workflows.
Build and test AI-powered airline tools using Python, LLMs, and agentic workflows; validate accuracy, safety, and performance of generative AI systems for aviation operations.
Design and build AI agent systems using LLMs, agent frameworks, and tool integrations to create scalable, reasoning-driven applications for a financial services firm.
Senior Data Scientist builds and deploys AI models—including LLMs and computer vision—to optimize oil production workflows using Python, PyTorch, and cloud GPUs.
Builds LLM-powered agents that turn natural language into data analysis, using Python, pandas, LangChain, and text-to-SQL toolkits to process CSV and database queries.
Build and operate sovereign AI infrastructure for government clients, deploying GPU clusters in air-gapped data centers and cloud (Azure/GCP) using Kubernetes, GitOps, and offline artifact pipelines.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Designs the architecture for self-learning AI agents and GenAI systems, focusing on orchestration, reasoning layers, and scalable agentic workflows.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Build AI-powered apps using Anthropic’s Claude API, integrating LLM workflows, prompt design, and tool use into scalable full-stack systems with React, Next.js, Node.js/Python, and vector databases.
Build full-stack web apps with React/Next.js and Node.js/PHP, integrating Anthropic’s Claude API to create AI-powered features like agents, RAG, and streaming responses.
Build and deploy AI-powered insurance workflows using LLMs and agent-based automation to process submissions, policies, and client communications.
Build production-grade AI features like RAG pipelines and agentic workflows using Python, FastAPI, and vector stores; ship LLM-powered services end-to-end.
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
Build and deploy AI-powered applications using LLMs, RAG pipelines, and vector search. Integrate LLM APIs into production systems with Python and cloud tools.
Designs the architecture for self-learning AI agents and GenAI systems, focusing on orchestration, reasoning layers, and scalable production pipelines.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to improve search, recommendations, and automation.
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