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Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
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 build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
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.
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Build AI-powered knowledge systems and retrieval pipelines for an HCM suite, integrating LLMs, RAG, and agentic workflows in TypeScript/Node.js and Python.
Design and maintain data pipelines and customer datasets to power AI-driven personalization at a leading Australian proptech company, using SQL, Airflow, BigQuery, and DBT.
Build and maintain data pipelines and datasets for customer insights, using SQL, Airflow, BigQuery, and DBT to transform and validate data across REA Group’s property platforms.
Design and build scalable data pipelines and models to power Nine’s media and ad-tech platforms, using Python, SQL, and cloud services like GCP/AWS.
Build and maintain data pipelines and customer datasets to consolidate legacy systems into a unified profile platform, enabling AI-driven personalization at a property-tech company.
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Lead the design and scaling of a cloud-native data platform for a high-growth fintech, building pipelines, warehouses, and governance to enable AI and real-time analytics.
Build and deploy AI-powered trading software using LLMs, NLP, and generative AI to enhance enterprise workflows and SaaS features in a Dubai-based FinTech firm.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
We are looking for an experienced Senior Data Engineer with strong expertise in PySpark, Python, and Cloudera Data Platform (CDP) to join a high-performing Data Engineering team supporting enterprise-scale Digital…
Build and optimize scalable data pipelines on Databricks and AWS using Python, PySpark, and SQL for enterprise clients.
Design and build AI agent systems using LLMs, agent frameworks, and tool integrations to create scalable, reasoning-driven applications for a financial services firm.
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