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Design and deploy enterprise-grade AI systems for customer experience orchestration, integrating LLMs, RAG, and real-time data to optimize contact-center workflows and drive business outcomes.
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.
Leads a team of network engineers to design secure LAN/WAN, firewalls, and VPNs, while overseeing security monitoring, firewall management, and incident response for enterprise infrastructure.
Build and optimize high-performance automated trading systems for energy markets using C#, C++, or Python, collaborating with traders to execute strategies in real time.
Analyzes supply and inventory data for equipment systems, advises on stock levels, and coordinates with technical teams to ensure operational readiness and maintenance efficiency.
Build and maintain automated tests for a digital banking platform, using Playwright, Appium, and REST Assured to validate web, mobile, and backend services in an Agile team.
Leads a team to build and maintain a cloud-native data platform for AI and analytics, using AWS/Azure/GCP, in a hybrid Dubai fintech company.
Build predictive models and AI solutions to drive trading decisions using large datasets in a fintech energy-trading firm.
Design and deploy ML models, LLMs, and analytical pipelines to support litigation, regulatory strategy, and AI/cybersecurity advisory for Fortune 100 clients and governments.
Build predictive models and features from financial datasets to power systematic trading strategies at a global asset manager.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Senior Data Analyst builds Power BI dashboards and delivers finance, operations, and commercial insights in a SaaS company.
Build full-stack AI applications for public-sector clients, deploying directly in their offices and integrating LLMs with React, TypeScript, Python, and cloud infrastructure.
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and fine-tune large language models and deep-learning systems on Cerebras’ wafer-scale AI hardware to solve real-world customer problems, from training bespoke models to deploying agentic AI.
Build and deploy ML models for fraud detection, recommendations, and personalization using Python and scikit-learn in a hybrid Dubai-based team.
PhD researchers solve real-world problems in AI/ML, data science, and systematic investing for a government investment fund.
Designs, deploys, and optimizes enterprise Wi‑Fi networks for hospitals and large offices using Cisco controllers, RF planning, and security best practices.
Designs and demos cloud-based software solutions for clients, translating technical specs into scalable architectures and guiding proofs of concept.
Build and deploy AI/ML models in Python and SQL to solve business problems, ensuring explainability and governance while collaborating with cross-functional teams.
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