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Build and optimize end-to-end data pipelines on Azure and Databricks, integrating data for analytics and AI use cases using Python, Spark, and SQL.
Build and optimize data pipelines using Databricks, SQL, and Python to support analytics and cloud-based data warehousing on Azure.
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Build and deploy ML and generative AI solutions while working directly with clients to turn business needs into working AI systems.
Build and optimize AI data models using AWS ML services, collaborating with teams to implement ML solutions and analyze datasets for insights.
Build and scale the data pipelines that feed fundamental equity research for APAC markets, transforming raw financial feeds into clean datasets for portfolio managers and AI tools.
Create & Realize (C&R) is seeking a Technical Support professional to join our customer success team in Hong Kong. You will diagnose and resolve issues related to AI and system solutions, perform data center…
Builds automation for trade and position lifecycle, focusing on corporate actions and equities data using Python.
Intern in Binance’s accelerator program to assist AI-driven compliance projects for Web3, focusing on KYC, KYB, and EDD while learning cross-functional skills.
Build and maintain a trading execution engine and data infrastructure for a quant research firm using Python, IB TWS API, Redis, and REST APIs.
Analyze logistics market trends and competitor data to produce BI reports and strategic insights using Excel and Power BI.
Designs and deploys cloud-native, Kubernetes-based AI infrastructure and hybrid architectures for enterprise customers, focusing on GPU clusters and MLOps workflows.
Leads an enterprise AI initiative in private banking, coordinating teams and vendors to identify data sources, define requirements, and deliver AI/ML solutions end-to-end.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, including full-stack development, RAG systems, and integration layers.
Designs cloud-native AI architectures for Hong Kong enterprises, aligning business needs with scalable AWS solutions and collaborating across teams.
Lead the development and modernization of enterprise applications using Java, Spring Boot, React, and Node.js, while integrating AI tools to enhance business processes.
AfterWork Startup in Hong Kong is seeking an AI-led marketing leader to design, roll out, and implement AI tools that simplify and accelerate daily workflows for the marketing team and the wider company. You will…
Build and deploy enterprise-grade LLM applications using RAG, AI Agents, and vector databases like Milvus/Qdrant. Develop Python-based AI workflows and APIs for real-world production use.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and AI agents, optimizing vector databases and knowledge bases for real-world use.
Leads AI and data architecture for a large insurer, setting GenAI strategy and standards while ensuring secure, compliant solutions in a regulated market.
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