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Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Lead deployment and optimization of GenAI and Agentic AI pipelines, ensuring scalable, compliant operations through automation, monitoring, and governance across platforms.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and deploy AI/ML models for energy data at Halliburton, cleaning data, creating dictionaries, and serving models via APIs on cloud platforms.
Design and maintain cloud-based data pipelines and analytics platforms on Microsoft Azure, integrating AI/ML workflows and ensuring data quality and governance.
Design and implement Neo4j graph models for banking data, apply graph algorithms to detect fraud, and build real-time investigation dashboards for AML teams.
Build and maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
Builds full-stack web apps and interfaces to deploy optimization and ML models for academic research, using React, Python, and cloud tools.
Build and deploy machine-learning models in Python using PyTorch/TensorFlow/scikit-learn, engineer features, and serve them via REST APIs for client projects.
Design and build scalable Python back-end services in cloud environments, lead AI/GenAI initiatives using libraries like TensorFlow and LangChain, and mentor teams on clean code and best practices.
Build and deploy AI-powered media solutions using LLMs and ML models, integrating cloud-native services and MLOps pipelines in Python/JavaScript.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Design, train, and deploy ML models using Python, TensorFlow, and PyTorch to power AI-driven solutions for businesses in Riyadh.
Build ML models that enrich and categorize millions of transactions, detect anomalies, and assess risk for Saudi Arabia’s first retail Open Banking platform.
Build and deploy AI solutions for enterprise customers, including predictive models, GenAI chatbots, and agentic AI systems using Python, LangGraph, and Kubernetes.
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
Build and deploy ML/AI models (regression, classification, deep learning, LLMs) for business use cases, integrate outputs into Power BI dashboards, and productionize solutions for clients.
Build and deploy AI/ML models to detect sales anomalies, forecast demand, and optimize pricing for a global FMCG company using Python, SQL, and TensorFlow/PyTorch.
Build and deploy AI-driven forecasting, optimization, and generative AI systems for CPG companies using Python, ML, and agentic workflows.
Builds and deploys ML models to optimize marketing spend and forecast demand, using Python, SQL, and basic neural networks with mentorship from HQ’s data-science team.
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