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Build and deploy ML models end-to-end, from data engineering to production on Azure/AWS/GCP, using Python, Databricks and MLOps tooling.
Develop and maintain Python-based software for quantum hardware control and data analysis, collaborating with engineers to automate quantum processor characterization and validation.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Design and deploy ML models for classification, prediction, and optimization using Python and cloud platforms, collaborating with teams to solve real-world problems in energy, finance, and more.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Build and maintain ETL pipelines that clean and structure large volumes of imagery and video data for machine-learning training in defence and national security applications.
Build and scale a Python-based analytics engine that processes building-system data to cut energy waste and carbon emissions, running on Kubernetes and Docker with AI-driven insights.
Build and maintain AWS-based data pipelines for Safran Aircraft Engines, ingesting MES/ERP/PLM and IoT feeds, transforming them in a medallion lakehouse, and enabling business teams with Power BI dashboards.
Build and deploy ML models for fraud detection, recommendations, and personalization using Python and scikit-learn in a hybrid Dubai-based team.
Build and deploy AI/ML models in Python and SQL to solve business problems, ensuring explainability and governance while collaborating with cross-functional teams.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Build and deploy AI-driven credit scoring, cash flow forecasting, and autonomous capital allocation models for a global private credit firm.
Build and maintain scalable data pipelines to process complex biological datasets for training AI foundation models in drug discovery and healthcare.
Builds and maintains dashboards and reports from clinical data using SQL, Python, and BI tools to track patient outcomes and business metrics for a metabolic health clinic.
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Build, deploy, and monitor ML/AI models and GenAI systems using Python, TensorFlow, PyTorch, and MLOps tooling like MLflow and Kubernetes.
Lead the design and deployment of advanced AI models, including LLMs and multimodal systems, using deep learning and statistical methods to solve complex business and research challenges.
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