ML Software Engineer I — Tooling & Production

Crowe; Columbus (OH); 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 in Columbus, OH, to develop reusable libraries and services for machine learning products. You will work with the Data Science Team to turn prototypes into production-ready solutions and promote toolkit adoption across projects.

The role emphasizes autonomy, strong software engineering, and effective communication with engineers, data scientists, and business stakeholders. A focus on Linux-based environments and Docker-based deployment is expected.

Qualifications

• Proficiency in Python is required; code regularly in production environments.
• Strong software engineering fundamentals: algorithms, data structures, and testing.
• Ability to communicate across technical and non-technical stakeholders.

Responsibilities

• Define common problems in the codebase and identify opportunities to enable reuse.
• Develop libraries and services to support ML product requirements.
• Collaborate with data scientists to move models from prototype to production.
• Champion the use and adoption of Toolkit libraries and services.
• Maintain quality through documentation and comprehensive tests.

Skills

Python

Algorithms & data structures

Communication

Autonomy

ML curiosity

Tools

Docker

Kubernetes

Linux

RESTful APIs

Cloud computing

CI/CD

Job description

Crowe is seeking a data science toolkit engineer in Columbus, OH, to develop reusable libraries and services for machine learning products. You will work with the Data Science Team to turn prototypes into production-ready solutions and promote toolkit adoption across projects.

The role emphasizes autonomy, strong software engineering, and effective communication with engineers, data scientists, and business stakeholders. A focus on Linux-based environments and Docker-based deployment is expected.