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Sealincloud is developing an AI Decision Intelligence Platform that applies artificial intelligence technologies to support complex decision-making and intelligent service delivery. We are seeking an AI Application…
Designs and evolves scalable, secure AI systems (data pipelines, model training, inference) and guides the team to keep the stack industry-leading.
Builds and maintains scalable ETL/ELT pipelines and real-time event systems for a fintech company, using Python/Typescript and SQL while leveraging AI tools to boost development efficiency.
Build and optimize data pipelines using Databricks, SQL, and cloud platforms to support analytics and decision-making in a collaborative environment.
Design and build cloud-based data pipelines (ETL/ELT) using Azure Data Factory and Databricks to support analytics and reporting for a leading APAC securities firm.
Build and maintain Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Designs and builds synthetic data pipelines for AI training, focusing on prompt engineering, dataset distillation, and bias mitigation to improve model performance.
Build and own a full-stack data platform for a global dry-bulk shipping company, integrating Python/SQL services with Azure, Microsoft Fabric, and external data to power commercial and operational decisions.
Builds and maintains data pipelines and analytics for risk management at a major financial exchange.
Builds and maintains data pipelines for risk analytics on HKEX’s Big Data platform, using SQL, Python, and ETL to enable self-service BI for post-trade and operational risk.
Designs and builds cloud-based data pipelines on Azure Databricks and Python for insurance analytics, focusing on ETL/ELT, data quality, and governance.
Design and build Azure-based data pipelines and governance frameworks to integrate and streamline business data for analytics and decision-making.
Build AI/ML models to optimize water and wastewater treatment, using predictive analytics and digital twins to improve efficiency and maintenance.
Lead a team to build and maintain ETL pipelines, Azure Data Platform, and data storage infrastructure using PySpark, Python, SQL, and Azure Databricks.
Build and maintain scalable ETL/ELT pipelines for financial datasets, ensuring data integrity and enabling real-time analytics in a fintech environment.
Build and maintain data pipelines, dashboards, and ML models for insurance firms using SQL, Power BI, and analytics to drive decisions and performance measurement.
OKX in Hong Kong seeks an experienced backend engineer to design, build, and optimize the Wallet Earn on-chain investment platform. You will scale high-concurrency systems, ensure fund safety, and integrate with DeFi…
Builds automation tools for management reports using Openshift, React.js, and Java/Node.js, extracting data from databases and collaborating with SRE teams.
Build and maintain core trading and settlement systems in Java/Spring/Oracle, ensuring reliable back-office operations for equities, futures, and other financial products.
Builds and deploys LLM-powered features on AWS AI services using Python/Java and ML frameworks.
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