ML Software Engineer: Build Reusable ML Tools

Crowe; Fort Wayne (IN); On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe is hiring for a data science toolkit engineer to develop generalizable libraries and services for ML products. You will collaborate with data scientists to move models from prototype to production while promoting reuse across projects and maintaining high code quality.

Ideal candidates will have Python expertise, experience with Docker and RESTful APIs, and a strong foundation in software engineering, cloud computing, and CI/CD.

Qualifications

• Required Skills: Proficient in Python; experience in other languages (C/C++, Go) a plus.
• Software engineering experience; comfortable with algorithms and data structures.
• Linux-based systems experience; familiar with Docker to develop and deliver RESTful APIs.
• Experience with cloud computing, distributed systems, CI/CD is a plus.
• Ability to work autonomously, manage time between research and tool development.
• Strong communication skills for diverse audiences.

Responsibilities

• Execute tasks to achieve the project's overarching technical vision.
• Contribute to the Data Science Toolkit team's libraries and services.
• Collaborate with data scientists to move ML models from prototype to production.
• Champion the use and adoption of Toolkit libraries and services.
• Support team growth through code reviews and knowledge sharing.

Skills

Python

C/C++

Go

Software engineering

Linux

RESTful APIs

Algorithm design and data structures

Communication skills

Autonomy

Curiosity about machine learning

Tools

Docker

CI/CD

Cloud computing

Job description

Crowe is hiring for a data science toolkit engineer to develop generalizable libraries and services for ML products. You will collaborate with data scientists to move models from prototype to production while promoting reuse across projects and maintaining high code quality.

Ideal candidates will have Python expertise, experience with Docker and RESTful APIs, and a strong foundation in software engineering, cloud computing, and CI/CD.