ML Software Engineer - Build Reusable ML Tools

Crowe; United States; On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe is seeking a software/data engineer to support medium-term ML projects and build reusable toolkit libraries. You will collaborate with data scientists to move models from prototype to production, develop services, and apply best practices in a Linux/Docker environment.

You will contribute to a culture of reuse, work across data science and engineering, and grow within a firm known for its integrity and client impact.

Qualifications

• Experience coding; primarily Python; knowledge of lower-level languages a plus.
• Strong software engineering background with algorithms and data structures.
• Comfortable in Linux and using Docker to build and deploy RESTful APIs.
• Experience with cloud, distributed systems, and CI/CD is a plus.

Responsibilities

• Execute tasks to realize the project technical vision.
• Perform data exploration for new projects and support feature development.
• Develop libraries and services for ML products.
• Collaborate with data scientists to move models from prototype to production.
• Promote reuse of toolkit libraries and services.

Skills

Python

C/C++

Go

Linux

RESTful APIs

Docker

Cloud

CI/CD

Algorithms

Data structures

Communication

Autonomy

Adaptability

Testing

Tools

Docker

Job description

Crowe is seeking a software/data engineer to support medium-term ML projects and build reusable toolkit libraries. You will collaborate with data scientists to move models from prototype to production, develop services, and apply best practices in a Linux/Docker environment.

You will contribute to a culture of reuse, work across data science and engineering, and grow within a firm known for its integrity and client impact.