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ML Data EngineerTitan • United States
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ML Data Engineer

Titan
  • US
    United States
  • US
    United States
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About

This range is provided by Titan. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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.
Base pay range $150,000.00/yr - $200,000.00/yr
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
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  • United States

Languages

  • English
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