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Protect Absa’s AI systems by designing secure AI architectures, detecting AI-specific threats, and running offensive security tests like prompt injection and agent manipulation.
Builds and maintains SQL Server and SSRS reports, writes T-SQL queries, and helps migrate legacy BI to Power BI for a Johannesburg-based data team.
Designs and governs the enterprise data and AI architecture for a financial-services group, translating business strategy into scalable data platforms and AI capabilities while ensuring alignment with governance and cost-effectiveness.
Builds dashboards and analyzes sales, operations, and financial data to uncover trends and improve decision-making across a renewable-energy logistics company.
Senior data scientist builds and deploys ML models, graph analytics, and Gen AI solutions to detect fraud and extract insights from interconnected datasets using Python and cloud platforms.
Build and fine-tune AI features, models, and agents using Python and Hugging Face to power an HR platform that simplifies global hiring and payroll.
Lead AI product development at Revolut, owning the roadmap for AI-powered features like assistants and automation using LLMs and ML, collaborating with data scientists and engineers.
Analyzes industrial equipment data (compressors, trailers) to improve processes using PLC programming and safety compliance in high-pressure environments.
Senior Data & ML Engineer builds automated data pipelines, a central SSOT database, and AI/ML-ready data models to support reporting, analytics, and machine learning across the business.
Design and maintain batch/streaming data pipelines for banking data, ensuring lineage, quality, and compliance with Snowflake, AWS, and Tableau.
Lead the design, build, and governance of enterprise data pipelines and models using Azure Synapse, Databricks, and SQL, while mentoring teams and ensuring data quality, security, and compliance.
Builds and maintains SQL Server reports and databases, writes T-SQL queries, and supports BI solutions for business users.
Lead the design and implementation of data platforms for fraud detection and risk analytics at a major bank, focusing on real-time decisioning, AI initiatives, and regulatory compliance.
Lead a team to design and maintain fraud-risk data platforms, build ML models for real-time detection, and ensure regulatory compliance while driving AI innovation in a banking context.
Build and maintain cloud infrastructure, CI/CD pipelines, and observability for enterprise AI solutions, ensuring secure, scalable deployments from proof of concept to production.
Design and scale cloud-based data platforms and pipelines to power analytics, AI, and reporting for a global beverage leader’s digital transformation.
Design and build scalable data pipelines and feature stores to power AI models, ensuring data accuracy and compliance across teams.
Leads design and maintenance of scalable data pipelines and ETL processes for UK clients, using Python, Spark, SQL, and cloud platforms to ensure reliable, high-performance data infrastructure.
Designs and maintains AI-ready data pipelines and feature stores to power ML models and generative AI solutions, ensuring data quality, lineage, and compliance.
Design and optimize cloud-scale data platforms, building ingestion pipelines, ETL/ELT solutions, and scalable data stores for analytics and ML workloads.
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