ML Software Engineer I — Build reusable ML tools & services

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

Job summary

Crowe is seeking a Data Science Toolkit Engineer to build generalizable libraries and services for ML products. You will work with the Data Science Team to identify opportunities in the codebase, develop reusable tools in Python, and help bring models from prototype to production.

The role requires strong software engineering, Linux familiarity, and experience with Docker for RESTful APIs. Collaboration across stakeholders is essential for success.

Qualifications

• Proficient in Python with experience in data science or ML tooling.
• Strong software engineering background with knowledge of algorithms and data structures.
• Comfortable in Linux environments and using Docker for API delivery.
• Experience with cloud, distributed systems, and CI/CD is a plus.

Responsibilities

• Implement and maintain libraries and services for ML products.
• Collaborate with data scientists to move models from prototype to production.
• Champion reuse of Toolkit libraries and services across projects.
• Provide clear documentation and robust test coverage.

Skills

Python

Linux

Docker

RESTful APIs

CI/CD

Cloud computing

Distributed systems

Tools

Docker

Job description

Crowe is seeking a Data Science Toolkit Engineer to build generalizable libraries and services for ML products. You will work with the Data Science Team to identify opportunities in the codebase, develop reusable tools in Python, and help bring models from prototype to production.

The role requires strong software engineering, Linux familiarity, and experience with Docker for RESTful APIs. Collaboration across stakeholders is essential for success.