ML Software Engineer I — Tooling & Production

Crowe; Sacramento (CA); Hybrid; USD 62,000 - 100,000; Full time

Job summary

Crowe in the United States is seeking a data science engineer to build reusable toolkit libraries and deploy ML products. You'll translate prototype models into production, collaborating with data scientists and software engineers on Linux, Python, and RESTful services.

This role emphasizes autonomy, strong communication, and a culture of reuse. You’ll contribute to a flexible tech stack, advance tooling, and help Crowe deliver scalable AI solutions across finance and accounting projects.

Qualifications

• Proficiency in Python with software engineering fundamentals.
• Experience in Linux environments and building APIs.
• Familiarity with Docker, CI/CD, and cloud computing.
• Ability to work autonomously and communicate across teams.
• Interest in machine learning and deploying models to production.

Responsibilities

• Collaborate with data scientists to move ML models from prototype to production.
• Develop libraries and services addressing common requirements for ML products.
• Define problems and identify opportunities in existing codebases.
• Champion toolkit libraries and services and promote reuse.
• Contribute to a culture of clean code, testing, and documentation.

Skills

Python

Software engineering

Linux

Docker

RESTful APIs

Cloud computing

Distributed systems

CI/CD

Autonomy

Communication

ML basics

Tools

Docker

RESTful APIs

CI/CD tooling

Cloud platforms

Job description

Crowe in the United States is seeking a data science engineer to build reusable toolkit libraries and deploy ML products. You'll translate prototype models into production, collaborating with data scientists and software engineers on Linux, Python, and RESTful services.

This role emphasizes autonomy, strong communication, and a culture of reuse. You’ll contribute to a flexible tech stack, advance tooling, and help Crowe deliver scalable AI solutions across finance and accounting projects.