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Design and run enterprise-scale AI platforms, deploying LLMs and vision models on NVIDIA GPU clusters, optimizing inference pipelines with Kubernetes and OpenShift, and ensuring high availability and performance.
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
Oversee end-to-end delivery of enterprise AI solutions like AI Agents, Voice AI, and Generative AI apps, managing timelines, budgets, and cross-functional teams while ensuring customer satisfaction.
Designs and deploys enterprise-scale AI platforms and intelligent automation solutions, translating business needs into secure, scalable architectures with cloud, hybrid, and on-premise deployment models.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
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.
Principal architect leading enterprise-scale AI platforms, designing data pipelines, MLOps, LLMs, RAG, and cloud-native AI on AWS/Azure/GCP while ensuring compliance and scalability.
Design and implement AI solutions for banking data using Python, LangChain, LlamaIndex, LLMs, and vector databases to deploy enterprise AI initiatives.
Staff AI Software Engineer builds and scales full-stack apps with Java/Spring and React/Next.js, while leading AI initiatives like RAG, agents, and vector DBs, and mentoring engineers.
Staff AI Software Engineer builds and scales full-stack apps with Java/Spring and React/Next.js, while leading AI initiatives, mentoring engineers, and shaping technical standards in a fast-growing startup.
Build real-time voice AI pipelines and backend services for Hams.ai’s voice agents, handling speech-to-text, LLM orchestration, telephony, and low-latency WebRTC sessions using Python, FastAPI, PostgreSQL, and Kubernetes.
Builds and deploys Python backend services for AI/ML apps, integrating models, APIs, and databases to move prototypes into production.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
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.
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Build end-to-end web apps with .NET Core back-end and Vue/React/Angular front-end, deploy AI features to production, and lead cloud-native projects on Azure or AWS.
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