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Design, build, and deploy scalable generative AI and MLOps pipelines for enterprise systems, collaborating with data engineers and product teams.
Builds and maintains scalable cloud-native software and AI platforms, integrating ML models and APIs for enterprise solutions in Arabic AI infrastructure.
Build and deploy AI solutions for clients, including predictive models and GenAI agents, using DataRobot and open-source tools while advising on MLOps and governance.
Designs, builds, and deploys AI solutions for enterprise customers in Saudi Arabia using DataRobot and open-source tools, focusing on GenAI chatbots, RAG, and predictive models with MLOps governance.
Design and deploy AI/ML and GenAI solutions, building predictive models and scalable data pipelines to drive business decisions and customer outcomes.
Build and deploy ML models to detect anomalies in time-series sensor data for climate/industrial systems using Python, SQL, and MLOps practices.
Designs, trains, and deploys AI models using Python and PyTorch/TensorFlow, integrating them into production systems with cloud deployment.
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.
Build and deploy production-grade AI/ML models and features, focusing on deep learning, MLOps, and end-to-end automation for measurable business impact.
Develop and deploy AI/ML models, including LLMs and Generative AI, using Python, SQL, Kubernetes, Docker, and cloud platforms like GCP/OpenShift.
Build and deploy AI/ML models, including LLMs and Generative AI, using cloud platforms and MLOps in an enterprise environment.
Lucidya is on the forefront of innovation in artificial intelligence and is looking for a skilled AI Manager to oversee our AI programs and initiatives. In this key role, you will lead a dedicated team of machine…
Build and deploy ML and GenAI systems with MLOps and RAG pipelines, turning proof-of-concept AI into governed, auditable production for clients.
Build and deploy AI/ML models, including LLMs and Generative AI, using cloud platforms, Kubernetes, and MLOps for Saudi Aramco in Dhahran.
Senior AI Engineer builds and deploys production-grade AI solutions, fine-tunes models, and implements MLOps pipelines for client projects using Python, cloud-native tools, and secure software practices.
Develop and deploy AI/ML models, including LLMs, using Python/SQL, Kubernetes, Docker, and MLOps in an enterprise cloud environment.
Builds and deploys Python backend services for AI/ML apps, integrating models, APIs, and databases to move prototypes into production.
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.
Build knowledge-graph and AI-driven analytics to detect fraud and risk patterns using Python, LLMs, and graph reasoning.
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