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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 maintain a cloud-native insurance pricing platform in Python, using FastAPI/Flask, SQLAlchemy, and Kubernetes to serve insurers worldwide.
Build and maintain secure banking platforms using Python (FastAPI/Flask/Django), React, and microservices, while collaborating with cybersecurity and DevOps teams.
Build and optimize scalable ETL pipelines, real-time data ingestion, and multi-tenant analytical databases to power sub-second BI dashboards and embedded analytics for a media-focused SaaS platform.
Build and scale AI-powered full-stack web apps using React, Next.js, NestJS, and Go/Python, with cloud-native microservices and event-driven architecture.
Builds and maintains Python-based REST APIs, data pipelines, and CI/CD workflows for a cybersecurity team that automates vulnerability detection and integrates third-party security tools.
Builds and maintains back-end systems for capital-markets clients using Python, Django REST/Flask/FastAPI, SQL, and cloud platforms (AWS/Azure/GCP).
Build and maintain a research environment for systematic trading strategies in commodities and fixed income using Python, Pandas, and SQL, with direct impact on live trading systems.
Build and maintain Python backend services for trading and risk systems in investment banking, including data pipelines, APIs, and risk calculations.
Build and maintain a Python-based system to price fixed-income instruments, clean data, and automate trading workflows for a $10B commodities-focused fund.
Design and deploy enterprise-scale AI systems for banking, integrating LLMs and ML platforms while ensuring regulatory compliance and high availability.
Build ML models that enrich and categorize millions of transactions, detect anomalies, and assess risk for Saudi Arabia’s first retail Open Banking platform.
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.
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.
Build and maintain Python-based data pipelines, ETL workflows, and backend services using Airflow, BigQuery, and PySpark to support enterprise-scale analytics and digital transformation.
Designs and maintains scalable data pipelines in Python and Airflow, optimizing inventory and backend services with BigQuery and SQL.
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.
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