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Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric to ingest, process, and transform financial data for analytics and AI initiatives.
Build and scale a sustainability platform: architect full-stack systems in .NET Core, Node.js, Python, and React/Angular/Vue to ingest energy data, power dashboards, and enable ESG reporting for South African facilities.
Build secure, scalable enterprise apps for defense/intel missions using Java, Python, Angular, and REST APIs in an Agile environment.
Build and maintain a secure, scalable Azure and Databricks data platform that powers analytics, AI, and business insights for a logistics company.
Build and maintain a secure, scalable Azure-based data platform for analytics, AI, and reporting, using Databricks, Data Lake, Terraform, and CI/CD pipelines.
Build and run a secure, scalable Azure-based data platform (Databricks, Data Lake) that powers analytics, AI, and reporting for a logistics company.
Owns and evolves Tennis Australia’s Azure Databricks-based data platform, building pipelines with Databricks, ADF and ADLS to feed analytics, AI and BI needs.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
Senior AI Engineer builds secure, scalable AI solutions for a federal government project using Microsoft Azure AI tools, RAG, and agentic applications to enhance productivity and decision-making.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Design, build, and deploy AI agents and RAG systems using Azure OpenAI, LangChain, and Python/TypeScript, while ensuring security, governance, and responsible-AI compliance in a regulated government environment.
Design and scale data pipelines and analytics on Azure Databricks, ADF, and ADLS for Tennis Australia’s data platform.
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Lead a team of data engineers to design and modernize cloud-based data pipelines and architectures for a lottery/SaaS company, migrating from legacy systems and ensuring governance, security, and scalability.
Design and build scalable data pipelines and analytics solutions on Azure Databricks to power Tennis Australia’s data warehouse and reporting systems.
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
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