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Designs, builds, and maintains scalable AI platforms using cloud-native tech, Kubernetes, and automation to support enterprise AI initiatives.
Build and maintain Flutter mobile/web apps for blood donation infrastructure; integrate with REST backends using clean architecture and Bloc.
Build and maintain Flutter mobile/web apps with Dart and Bloc, integrating REST backends and deploying features. Core tech: Flutter, Dart, Bloc, REST APIs.
Senior ML Engineer builds and deploys geospatial AI models on Ray Serve and AWS, turning large datasets into real-time risk-scoring services for insurance clients.
Build and deploy AI-driven travel systems: optimize airline networks, automate agency workflows, and enhance retailing using ML, GenAI, and MLOps on GCP.
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.
We are dedicated to creating the world’s most advanced, reliable, and commercially scalable humanoid robots. Our flagship next‑gen labor automation units are designed to seamlessly integrate into daily life and amplify…
Build and maintain the core AI/ML development platform for UBS RiskLab, working as a full-stack developer with Python, React, and Azure services while collaborating with data scientists and IT teams.
Build and scale cloud-native infrastructure for AI platforms, deploying ML models and agents using AWS, Kubernetes, and CI/CD pipelines.
Build and scale the infrastructure for an AI platform, deploying models and agents, automating CI/CD, and ensuring reliability and security.
Design and lead enterprise-scale data platforms and AI solutions on Azure, guiding clients from discovery to proposal while owning end-to-end architecture and pre-sales engagements.
Design and deliver enterprise-scale AI platforms, including data pipelines, MLOps, LLMs, and cloud-native solutions on AWS/Azure/GCP while ensuring compliance and mentoring teams.
Design and deploy enterprise-scale AI systems for banking, integrating LLMs and ML platforms while ensuring regulatory compliance and high availability.
Design, train, and deploy ML models using Python, TensorFlow, and PyTorch to power AI-driven solutions for businesses in Riyadh.
Build and automate scalable MLOps platforms and AI infrastructure, deploying ML pipelines on Kubernetes and cloud-native environments to support data scientists and AI engineers.
Build and deploy AI solutions for enterprise customers, including predictive models, GenAI chatbots, and agentic AI systems using Python, LangGraph, and Kubernetes.
Design and deploy enterprise AI systems for banking, integrating LLMs and ML platforms with core financial systems while ensuring regulatory compliance and scalability.
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 AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
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