Titan is building the AI platform for banking – creating the models and agents that will define the industry. Led by a team of former CTOs with multiple exits, we're seeking an ML Data Engineer to build the infrastructure that powers AI in banking and fintech. In this role, you'll design and scale the data and model-serving systems that keep Titan's AI platform fast, reliable, and production-ready. What you’ll do - Build and maintain APIs, microservices, and middleware layers to serve ML and LLM models at scale, ensuring high availability and low latency - Implement validation, observability, and monitoring frameworks for data and ML systems to ensure reliability, traceability, and performance - Work closely with ML scientists to translate experimental models into production-grade systems, ensuring seamless integration with broader data and platform infrastructure - Continuously evaluate, refactor, and improve ETL and model serving pipelines for cost efficiency, speed, and reliability - Develop CI/CD pipelines for data workflows and model lifecycle management, including training, testing, deployment, and rollback - Share knowledge and mentor teammates on data engineering patterns, ... Click Apply to read the full job description.