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Design experiments, evaluate metrics, and collaborate with engineers to productionize AI improvements using diverse data sources within Rakuten's AI Lab.
Design, develop, and deploy data-driven AI solutions and machine learning models using Python, while analyzing data and collaborating with teams to meet business requirements.
Lead advanced data analytics for High Bandwidth Memory product engineering, utilizing machine learning and AI to drive yield and quality improvements. Responsibilities include developing algorithms, enhancing data infrastructure with cloud tech, and cross-functional collaboration.
Provides production support for a Google Cloud-based data analytics platform in a financial markets environment. The role involves incident management, SRE practices, and driving AI/automation improvements during Asia trading hours.
Bridge business needs and technical execution for AI solutions in financial/capital markets. Partner with users, design end-to-end systems, and deliver AI capabilities using Claude Design.
Lead DevOps strategy and cloud optimization, owning data and AI infrastructure across distributed teams. Core technologies include Kubernetes, Terraform, GitOps, and data streaming tools like Kafka/Flink/Spark.
CANATEC PTE. LTD. in Singapore is seeking a proactive Project Engineer to lead cooling-system projects for data centres and critical facilities. You will plan schedules, manage vendors, and drive end-to-end execution…
Design and deploy innovative search and recommendation models for GoFood and GoPay systems using Python, C++, or Java to enhance user experience in Singapore.
Design, develop, and deploy AI applications like risk control systems on an AI-Native data platform, collaborating with cross-functional teams to create enterprise-grade intelligent solutions.
Safeguard IT and OT systems, monitor threats, operate cybersecurity tools, perform hardening/patching, coordinate SOC incident response, and support audits at a data center operator.
This role safeguards enterprise systems in IT and OT environments by operating tools like SIEM, EDR, and IDS/IPS. It focuses on monitoring threats, managing vulnerabilities, and ensuring compliance within a data center setting.
You will partner with faculty to build analytics solutions for student learning, including ETL scripts, AI models, and Power BI dashboards in a data lake environment.
Lead Data Engineer designing and optimizing data infrastructure for a bank using Spark, Scala, Python, Elasticsearch, and OpenShift.
Builds and owns investment risk and portfolio analytics infrastructure, designing data models, warehouses, and pipelines.
Design and maintain ETL/ELT data pipelines using Python and PySpark, develop lakehouse architectures, and deploy containerized solutions on Kubernetes to enable data-driven decision-making.
Lead design and development of overseas data warehouse and platform for mobile, IoT, and app data; build scalable pipelines using Spark, Flink, and apply ML/NLP techniques to extract insights from large datasets.
Manage database and data lake platforms, focusing on high availability, backups, disaster recovery, and performance tuning.
Design and implement data pipelines on Cloud platforms, optimize SQL queries, and collaborate with analysts and scientists to deliver reliable data solutions. Build scalable pipelines for large data volumes and develop high-performance architectures.
Design, implement, and maintain scalable batch and real-time data pipelines, ETL processes, and data warehousing solutions using Python, SQL, and big data technologies like Spark and Hadoop for defense and government sectors.
Build scalable data platforms and lakehouse architectures using Python and PySpark. Design ETL/ELT pipelines and ensure data governance for enterprise-grade analytics.
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