ML Software Engineer — Tooling & Production

Crowe; Washington (District of Columbia); On-site; USD 62,000 - 100,000; Full time

Benefits offered by this job

Comprehensive total rewards package

Job summary

Crowe is seeking a data science/Toolkit engineer to develop reusable libraries and services for ML products within a fast-paced Data Science Team in the United States. You will work on medium‑term projects with autonomy, focusing on turning prototypes into production‑grade tools.

The role emphasizes software engineering best practices, documentation, and test coverage. You will collaborate with data scientists and other engineers to design scalable solutions, leverage Docker and Linux

Qualifications

• Proficient in Python; experience with other languages (C/C++, Go) is a plus.
• Software engineering mindset with knowledge of algorithms and data structures.
• Comfortable in Linux environments and using Docker for API delivery.

Responsibilities

• Contribute to the Toolkit Team to build generalizable ML tooling and libraries.
• Collaborate with data scientists to move models from prototype to production.
• Champion adoption of Toolkit libraries across projects and teams.

Tools

Docker

Linux

RESTful APIs

Cloud computing

CI/CD

Job description

Crowe is seeking a data science/Toolkit engineer to develop reusable libraries and services for ML products within a fast-paced Data Science Team in the United States. You will work on medium‑term projects with autonomy, focusing on turning prototypes into production‑grade tools.

The role emphasizes software engineering best practices, documentation, and test coverage. You will collaborate with data scientists and other engineers to design scalable solutions, leverage Docker and Linux