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Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and govern data pipelines and products for a trading firm, integrating vendor datasets and ensuring reliability for traders and researchers using SQL, Python/Java, and modern data tech.
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
Senior Data Engineer builds and maintains DRW’s unified data platform, integrating vendor datasets and ensuring reliable pipelines for trading, research, and back-office teams using SQL, Python/Java, and modern data tech.
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Senior Data Engineer builds and maintains DRW’s unified data pipelines, integrating vendor datasets and ensuring reliability for trading, research, and back-office teams using SQL, Python/Java, and modern batch/streaming tech.
Design and optimize AI data pipelines, feature stores, and real-time inference systems using Python, Spark, and cloud infrastructure to power machine learning models.
Build and maintain Palantir Foundry ontologies, pipelines, and operational apps to model Nscale’s AI infrastructure and business workflows, partnering directly with teams to deliver trusted data products.
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Build and optimize scalable ELT/ETL pipelines and data workflows in Snowflake and Oracle, using Python, SQL, and CI/CD to support capital and credit data foundations for banking compliance.
Design and maintain scalable ELT/ETL pipelines, optimize PLSQL queries, and automate data workflows in Snowflake & Oracle for a Nordic bank’s credit and capital data foundation.
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
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.
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Build and scale high-throughput backend services and data pipelines in TypeScript/Node.js and AWS, handling large datasets and distributed systems for a SaaS company.
Design and build scalable backend services in Java/Python, containerize with Docker, and orchestrate microservices on Kubernetes across AWS, Azure, and on-prem environments.
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