ML Platform Engineer: Backend, NLP & MLOps

E-Solutions INC; Lehi (UT); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive total rewards (base salary

Customizable benefits package with 3+医

Paid time off: 3 weeks + holidays

Parental leave

Education assistance and LinkedIn学习

Mental health and fertility support

401(K) with company match

Pet insurance

Employee resource groups

Job summary

Waystar is seeking a Machine Learning Platform Engineer - Backend Services to build and manage the platform for training and applying predictive models. You will work on data-intensive systems, enabling scalable real-time predictions and robust NLP capabilities.

You will collaborate across teams to deliver high-quality software, adhere to CI/CD standards, and mentor junior engineers. The role emphasizes Linux proficiency, cloud experience (AWS/GCP), and a passion for cutting-edge AI technologies.

Qualifications

• Bachelor’s degree in Computer Science or related area; Masters preferred.
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms.
• Expert proficiency with SQL.
• NLP experience.
• CI/CD and automated testing practices.
• Comfort in Linux environments.
• Experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices architectures.
• Experience with public cloud solutions such as AWS or GCP.
• Proven track record of delivering complex technical projects.

Responsibilities

• Develop and enhance the machine learning platform to manage the full model life cycle.
• Build frameworks and tools to enable the data science team, supporting scalable real-time predictions in production.
• Design and implement data engineering solutions for model training.
• Expand NLP capabilities with advanced analysis techniques to improve text understanding.
• Design and implement high-performance, scalable services and applications.
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation.
• Adhere to development standards for consistency across teams.
• Perform in-depth technical and performance analyses to troubleshoot production issues.
• Monitor and maintain production systems for reliability and efficiency.

Skills

Python

Java

SQL

NLP

MLOps

Docker

Kubernetes

REST API

Microservices

Linux

CI/CD

Education

Bachelor’s degree in Computer Science or related area

Master’s degree preferred

Tools

PostgreSQL

Kafka

AWS

GCP

Job description

Waystar is seeking a Machine Learning Platform Engineer - Backend Services to build and manage the platform for training and applying predictive models. You will work on data-intensive systems, enabling scalable real-time predictions and robust NLP capabilities.

You will collaborate across teams to deliver high-quality software, adhere to CI/CD standards, and mentor junior engineers. The role emphasizes Linux proficiency, cloud experience (AWS/GCP), and a passion for cutting-edge AI technologies.