ML Software Engineer I — Build Reusable ML Tools

Crowe; Miami (FL); On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe is seeking a data science software engineer to join the Toolkit Team in a role focused on building generalizable ML tooling. You will develop libraries and services in Python, with occasional C/C++/Go contributions, to address common requirements across machine learning products.

You will collaborate with data scientists to move models from prototype to production, champion toolkit adoption, and work in Linux environments using Docker for RESTful APIs, with opportunities to influence

Qualifications

• Proficient in Python and comfortable coding daily.
• Experience with Linux-based systems and Docker for API development.
• Familiarity with CI/CD, cloud computing, and distributed systems is a plus.
• Able to work autonomously and communicate across technical and business stakeholders.

Responsibilities

• Collaborate with Data Science to move models from prototype to production.
• Develop libraries and services for common ML toolkit needs.
• Promote reuse of toolkit libraries and services across projects.
• Define common problems and identify opportunities in existing codebase.

Skills

Python

Docker

Linux

C/C++

Go

RESTful APIs

Software engineering

Communication skills

Tools

Docker

CI/CD

Cloud computing

Distributed systems

Job description

Crowe is seeking a data science software engineer to join the Toolkit Team in a role focused on building generalizable ML tooling. You will develop libraries and services in Python, with occasional C/C++/Go contributions, to address common requirements across machine learning products.

You will collaborate with data scientists to move models from prototype to production, champion toolkit adoption, and work in Linux environments using Docker for RESTful APIs, with opportunities to influence