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Lead a backend team building conversational AI systems using NLP, NLU, and cloud-native stacks; set architecture, mentor engineers, and drive CI/CD in a product-focused AI company.
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.
Designs and executes AI go-to-market strategies for enterprise clients in finance and retail, translating business needs into AI solutions and leading presales engagements.
Lead a team to design, build, and deploy AI models for Saudi Aramco’s business units, turning data into predictive insights and production-ready solutions.
Job Overview The AI Platform Salesperson is responsible for driving revenue growth by selling AI platforms, AI‑as‑a‑Service, and intelligent solutions to enterprise, mid‑market, or SMB customers. This role combines…
Lead AI architect designs, builds, and deploys enterprise-scale generative AI and ML systems in Saudi Arabia, guiding teams from concept to production.
Designs, trains, and deploys AI models using Python and PyTorch/TensorFlow, integrating them into production systems with cloud deployment.
Staff Data Scientist at Mozn builds and deploys NLP models and AI strategies to extract insights from large datasets, collaborating with leadership and engineering to drive data-driven decisions.
Design and deploy AI/ML models (predictive, NLP, computer vision) for enterprise use cases, collaborating with stakeholders to deliver end-to-end analytics solutions on large-scale data.
Build and deploy production-grade AI/ML models and features, focusing on deep learning, MLOps, and end-to-end automation for measurable business impact.
Maintains and optimizes cloud and on-prem infrastructure for a healthcare-focused AI speech-recognition platform, using Kubernetes, Terraform, and CI/CD pipelines.
Build and maintain cloud and on-prem infrastructure for a healthcare-focused AI speech-recognition platform, using Kubernetes, Terraform, and CI/CD pipelines.
Data Scientist builds predictive models and dashboards in Python/R with Power BI, working with stakeholders to turn business needs into data-driven insights and solutions.
Build knowledge-graph and AI-driven analytics to detect fraud and risk patterns using Python, LLMs, and graph reasoning.
Build internal UX research tools using React/Angular front-end and Java/Python/Go back-end to help Google teams rapidly turn user insights into product decisions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Designs and builds scalable data pipelines, models, and integrations for AI/ML and reporting, translating business needs into technical solutions with minimal oversight.
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
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