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Lead global network and data-center engineering for a sovereign wealth fund, designing secure, zero-trust infrastructure and AI-enabled platforms to support trading, analytics, and enterprise systems.
Senior engineer building and testing data integrations for a large-scale platform, collaborating with architects and vendors to connect subsystems.
Leads end-to-end data integrations for large-scale government platforms, designing interfaces, managing test plans, and ensuring data quality across sources using Databricks and AWS.
Designs and implements enterprise data security solutions for on-prem and cloud environments, collaborating with stakeholders to build scalable, secure architectures and security operating models.
Leads technical pre-sales for enterprise data solutions, designing PoCs and demos for cloud/on-prem/edge environments while aligning customer needs with product strategy.
Build AI/ML models and data pipelines for a microfluidic blood-analysis device, turning raw sensor data into clinical diagnostics and deployable prototypes.
Lead the design and modernization of global data, middleware, and web services infrastructure, ensuring AI/ML readiness and scalable, secure systems for a large financial institution.
Troubleshoots and resolves complex technical issues for data center cooling systems (e.g., chillers, CDU, fan walls) both remotely and on-site, while also training customers, documenting technical improvements, and supporting sales negotiations.
Build and maintain data pipelines, analyze large datasets, and create ML models to drive business decisions using SQL, Python/R, and cloud/data tools.
K2 PARTNERING SOLUTIONS PTE. LTD. is seeking an InterSystems Integration Software Developer to join our healthtech team in Singapore. You will design, build, test, and maintain robust data interfaces connecting…
A client-facing AI/data engineer who designs AWS-based solutions, builds live demos, and drives AI transformation deals for Accenture’s Southeast Asia clients.
Designs and maintains cloud-based data pipelines to process and transform data efficiently, ensuring scalability, reliability, and zero-downtime operations while adhering to secure coding standards.
Own and improve thousands of data pipelines for a top hedge fund, ensuring reliability and observability while leveraging AI for data quality.
Leads AI/ML data pipelines and model deployment for a real-time blood analysis diagnostic platform, collaborating with clinicians to translate research into clinical software.
Reporting to Data and Analytics Lead, the successful candidate will be responsible for the following: Data Management & Transformation Designing and developing new data pipelines and managing existing data…
Builds and optimizes systems to process, store, and secure patent data using Java/Python and big-data tools like Flink/Spark on Linux.
Builds data pipelines and models in Redshift/Data Lake, then designs Tableau dashboards for SportSG’s public-sector analytics, leveraging AWS infrastructure.
Designs cloud-based data pipelines and models for analytics/ML, focusing on real-time personalization and inference with CI/CD and data quality.
Design and optimize scalable ETL/ELT pipelines on Microsoft Azure and Fabric to build Lakehouse, data warehouses, and models for investment analytics in asset/wealth management.
Designs and builds real-time data integration architectures and optimizes large-scale data platforms using Java/Scala/Go.
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