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Maintains and optimizes MariaDB and Oracle databases, ensuring high availability and performance while automating routine tasks with Linux scripting.
Designs, implements, and supports high-performance enterprise networks for a global trading firm, focusing on low-latency infrastructure, automation, and global standards.
Designs, configures, and maintains wired/wireless networks, firewalls, and VPNs to ensure secure, high-performance connectivity for a tech company.
Build and deploy AI/ML models for Singapore’s energy regulator, focusing on MLOps pipelines, model governance, and translating technical insights for stakeholders.
If you're excited by the pace and ownership of a startup, but want the resources and stability of an established company, this is the opportunity for you. We're building a new AI powered B2B SaaS business from…
Build and maintain scalable data pipelines and platforms for analytics and AI in healthcare and public-sector projects using Python, SQL, and cloud tools like AWS/Azure/GCP.
Designs and optimizes Neo4j graph models for banking data, applies Graph Data Science algorithms to detect fraud, and builds real-time investigation dashboards for AML and Risk teams.
Designs and maintains scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, designing pipelines, warehouses, and analytics to support cross-border transactions and business growth.
Builds and maintains scalable ETL/ELT pipelines in Python, PySpark, and SQL to feed enterprise analytics and reporting for a regulatory technology company.
Lead enterprise AI platform deployments in Singapore, designing bespoke AI assistants and guiding clients through complex integrations and workflow automation.
Build and optimize data pipelines using PySpark and Databricks to process large-scale datasets, ensuring performance and reliability for analytics and AI workloads.
Build ML models and data pipelines to optimize hard-drive manufacturing, analyzing production data to reduce test time and predict optimal drive parameters.
Build and optimize data pipelines processing millions of records daily for a global bank’s risk management platform using SQL Server, Apache Spark, and ETL best practices.
Designs and optimizes Neo4j graph models for banking data to detect fraud and money-laundering patterns using GDS algorithms and Bloom dashboards.
Build and optimize scalable data pipelines for AI model training, focusing on multimodal datasets and closed-loop evaluation systems to improve large language and multimodal models.
Build and maintain scalable backend systems for TikTok’s Trust and Safety platform to detect harmful content and abusive behavior using data pipelines and real-time processing tools.
Build and enhance TikTok’s in-house data analytics platform (Aeolus) with AI-powered features like natural language querying, LLM agents, and automated insights to help users explore and analyze billions of rows of data efficiently.
Build and optimize core backend services powering TikTok LIVE’s global real-time streaming platform, handling millions of concurrent users with focus on data consistency, disaster recovery, and AI-driven architecture.
Design and build cloud-native backend systems and microservices to orchestrate a global fleet of robots, using Go, Kafka, and AWS/GCP/Azure.
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