ML Data Engineer (AI)

TL;DR

ML Data Engineer (AI): Design and scale data and model-serving systems for an AI platform in banking with an accent on high availability, low latency, and production reliability. Focus on building APIs, microservices, ETL pipelines, and CI/CD for model lifecycle management, ensuring seamless integration of experimental models into production.

Location: Remote (United States)

Compensation: $150K – $225K

Company

Titan is building the AI platform for banking, creating secure models and agents tailored for financial services.

What you will do

• Build and maintain APIs, microservices, and middleware to serve ML and LLM models at scale
• Implement validation, observability, and monitoring for data and ML systems
• Collaborate with ML scientists to productionize experimental models
• Optimize ETL and model serving pipelines for efficiency and reliability
• Develop CI/CD pipelines for data workflows and model management
• Mentor teammates on data engineering, MLOps, and scalable design

Requirements

• 5+ years in data engineering, ML engineering, or similar
• Proven experience with agentic AI systems or complex orchestration
• Bachelor’s or Master’s in Computer Science, Data Engineering, or equivalent
• Strong Python proficiency for production data/ML services
• Hands-on with ML frameworks like PyTorch, TensorFlow, Hugging Face
• SQL expertise and work with relational/non-relational databases
• Track record deploying ML pipelines in production
• Familiarity with API design, microservices, cloud platforms (AWS, GCP, Azure)

Culture & Benefits

• Remote-first culture with in-person collaboration opportunities
• Unlimited PTO
• 100% paid medical, dental, vision coverage
• Competitive salary plus pre-Series A equity