Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Performance and Cost Engineering: Optimize Spark and SQL jobs, file layout, partitioning, cluster configuration and workload scheduling to improve reliability, runtime and AWS/Databricks cost efficiency.
Engineering leadership and delivery: Lead a multidisciplinary team of full-stack developers and project managers, including offshore resources, to design, build, operate, and continuously improve AI-powered, web-based, and customer-facing digital applications.
Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
Engineering leadership and delivery: Lead a multidisciplinary team of full-stack developers and project managers, including offshore resources, to design, build, operate, and continuously improve AI-powered, web-based, and customer-facing digital applications.
MLOps/AIOps Platform Engineering: Design and implement reusable platform components and golden paths for experiment tracking, model registry, pipeline orchestration, deployment, monitoring, feedback and retraining using Databricks, MLflow and approved AWS services.
Provide technical leadership across backend, frontend, API integration, LLM orchestration, agent frameworks, and workflow automation to ensure consistency and quality.
Provide technical leadership across backend, frontend, API integration, LLM orchestration, agent frameworks, and workflow automation to ensure consistency and quality.
Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Evaluate model performance, implement and deploy GenAI and ML solutions on OCBC Infrastructure at scale, ensuring robust monitoring, automation and operational reliability.
Work with APIs, databases, cloud infrastructure, enterprise applications, communications technologies, and other connected systems as required by the solution.