Senior AI Engineer: ML Infra & Personalization

United States Digital Space LLC; United States; Remote; USD 50,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking a Sr. AI Engineer to lead design, development, and deployment of ML models powering our fintech marketplace.

You will architect scalable ML infrastructure on AWS, leverage SageMaker, and collaborate with cross-functional teams to deliver AI-driven features for personalization, fraud detection, and credit risk assessment. This senior role requires 6+ years in ML engineering, Python proficiency, and strong leadership.

Qualifications

• 6+ years of experience with machine learning engineering.
• Experience deploying scalable ML models in production.
• Bachelor's degree in CS/CE/ML/stats/physics or related field.
• Experience using Claude or equivalent LLM tools.

Responsibilities

• Design, develop, and deploy ML models powering our marketplace.
• Build scalable ML infrastructure on AWS (Sagemaker workflows).
• Collaborate with product teams to ship MVP AI features.
• Develop monitoring and alerting for ML systems.
• Mentor teammates and lead technical initiatives.
• Stay updated with ML and AWS innovations.

Skills

ML engineering

Python

Leadership

SQL

Education

Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field

Tools

AWS

Kubernetes

Docker

CI/CD

Apache Spark

Kafka

Golang

Claude

Prometheus

Grafana

CloudWatch

Job description

United States Digital Space LLC is seeking a Sr. AI Engineer to lead design, development, and deployment of ML models powering our fintech marketplace.

You will architect scalable ML infrastructure on AWS, leverage SageMaker, and collaborate with cross-functional teams to deliver AI-driven features for personalization, fraud detection, and credit risk assessment. This senior role requires 6+ years in ML engineering, Python proficiency, and strong leadership.