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Build GenAI/LLM prototypes and FastAPI inference services to analyze manufacturing data (images and structured datasets) for Seagate’s slider PPE team in Korat.
Build and optimize resource scheduling systems for ML platforms, orchestrating GPUs, CPUs, and accelerators across distributed clusters to support training, inference, and evaluation workloads.
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.
Builds and maintains back-end systems for capital-markets clients using Python, Django REST/Flask/FastAPI, SQL, and cloud platforms (AWS/Azure/GCP).
Design and deploy AI/ML models using Python, TensorFlow, and PyTorch to build predictive solutions and drive digital transformation across industries.
Design, train, and deploy ML models using Python, TensorFlow, and PyTorch to power AI-driven solutions for businesses in Riyadh.
Build and deploy AI models for a Jeddah hospital, using Python and ML frameworks to improve diagnostics and patient care.
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.
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
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.
Design, train, and deploy scalable ML models in Python using TensorFlow or PyTorch, optimizing pipelines and collaborating with data scientists and product teams.
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 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.
Designs and deploys computer-vision models (object detection, segmentation) using PyTorch/TensorFlow and OpenCV, optimizing for edge/cloud deployment and managing data pipelines.
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.
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