ML Software Engineer I — Build reusable ML tools

Crowe; Dallas (TX); On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe is seeking a data science software engineer to work on 1–6 month machine learning projects, building generalizable tooling and libraries. You will collaborate with data scientists to move models from prototype to production, champion toolkit adoption, and contribute across the development lifecycle.

The role emphasizes autonomy, strong software engineering fundamentals, and comfort with Linux, Docker, and RESTful APIs, within a large US-based firm with a broad benefits package.

Qualifications

• Proficiency in Python; experience with software engineering practices.
• Familiarity with C/C++, Go is a plus.
• Experience with Linux, Docker, and RESTful APIs.
• Knowledge of cloud, distributed systems, and CI/CD is beneficial.
• Strong communication and teamwork skills.

Responsibilities

• Execute tasks to achieve the project's technical vision.
• Support client intake conversations and data exploration for new projects.
• Contribute to feature development and bug fixes for mature ML products.
• Collaborate to move machine learning models from prototype to production.
• Promote use of Toolkit libraries and services.

Skills

Python

C/C++

Go

Docker

Linux

REST APIs

Cloud computing

Distributed systems

CI/CD

Communication

Tools

N/A

Job description

Crowe is seeking a data science software engineer to work on 1–6 month machine learning projects, building generalizable tooling and libraries. You will collaborate with data scientists to move models from prototype to production, champion toolkit adoption, and contribute across the development lifecycle.

The role emphasizes autonomy, strong software engineering fundamentals, and comfort with Linux, Docker, and RESTful APIs, within a large US-based firm with a broad benefits package.