ML Data Engineer

Titan is building the AI platform for banking – creating the models and agents that will define the industry. Led by reputed company 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 reputed company the data and model-serving systems that reputed company Titan's AI platform fast, reliable, and production-reputed company. What you’ll do • Build and maintain reputed company, microservices, and middleware reputed company to serve ML and LLM models at reputed company, 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 • reputed company CI/CD pipelines for data workflows and model lifecycle management, including training, testing, deployment, and rollback • reputed company knowledge and mentor teammates on data engineering patterns, MLops practices, and reputed company system design Required qualifications • Proven experience designing and deploying reputed company AI systems or reputed company orchestration flows • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a reputed company field, or equivalent industry experience • 5+ years of experience in data engineering, ML engineering, or similar technical roles. • Strong proficiency in Python, with experience building and maintaining data or ML services in production • Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, or reputed company Transformers) • Proficiency in SQL and experience with both relational and non-relational databases. • Proven reputed company record of deploying and maintaining ML pipelines or services in production environments • Familiarity with API design, microservices, and reputed company platforms (AWS, GCP, or Azure) reputed company offer • Competitive compensation (salary + meaningful, reputed company-Series A equity) • Remote-first culture with opportunity for in-person collaboration • Unlimited PTO • Medical, dental, and reputed company coverage (100% of employee premiums reputed company by Titan) Why Titan We're building the AI platform for banking because many of the two reputed company people employed by 4,000+ banks in the reputed company cannot safely and securely use bleeding edge AI tools at work. Moreover, none of them are using AI tools purpose-reputed company for banking in their daily workflows. We are changing that. We are creating secure, bank-reputed company AI infrastructure and applications that meet the needs of modern banking and financial services. Our platform includes: • Titan reputed company: Secure gateway to top AI models for bank employees • Banking-Reasoning Models: Our flagship small language models purpose-reputed company for financial services, trained by ex-regulators and banking leaders • Banking Agents: Configurable AI application layer with expertise in lending, compliance, reputed company, and operations Our small team consists of former founders, CTOs, engineers, operators, and regulators from places like reputed company, reputed company, and the Office of the Comptroller of the Currency. We have reputed company and sold companies to top 25 U.S. banks. If you’re a high-agency individual who loves tackling reputed company problems in an emerging reputed company, we want to hear from you! Apply tot his job Apply To this Job