ML Data Engineer

Department: Engineering

Location: United States

Compensation: $150K – $225K

Employment Type: FullTime

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, MLops practices, and scalable system design

Required qualifications

• Proven experience designing and deploying agentic AI systems or complex orchestration flows

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related 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 Hugging Face Transformers)

• Proficiency in SQL and experience with both relational and non-relational databases.

• Proven track record of deploying and maintaining ML pipelines or services in production environments

• Familiarity with API design, microservices, and cloud platforms (AWS, GCP, or Azure)

What we offer

• Competitive compensation (salary + meaningful, pre-Series A equity)

• Remote-first culture with opportunity for in-person collaboration

• Unlimited PTO

• Medical, dental, and vision coverage (100% of employee premiums paid by Titan)

Why Titan

We're building the AI platform for banking because many of the two million people employed by 4,000+ banks in the United States cannot safely and securely use bleeding edge AI tools at work. Moreover, none of them are using AI tools purpose-built for banking in their daily workflows. We are changing that.

We are creating secure, bank-native AI infrastructure and applications that meet the needs of modern banking and financial services. Our platform includes:

• Titan Foundry: Secure gateway to top AI models for bank employees

• Banking-Reasoning Models: Our flagship small language models purpose-built for financial services, trained by ex-regulators and banking leaders

• Banking Agents: Configurable AI application layer with expertise in lending, compliance, underwriting, and operations

Our small team consists of former founders, CTOs, engineers, operators, and regulators from places like Goldman Sachs, KeyBank, and the Office of the Comptroller of the Currency. We have built and sold companies to top 25 U.S. banks.

If you’re a high-agency individual who loves tackling complex problems in an emerging space, we want to hear from you!