ML Software Engineer: Toolkit & Production

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

Job summary

Crowe is looking for a data science tooling engineer to work on medium-term ML projects with a high degree of autonomy. You will help develop generalizable libraries and services, collaborate with data scientists to move models from prototype to production, and champion toolkit adoption across teams.

Join Crowe’s Data Science Team to build scalable ML infrastructure in a Linux environment, using Docker and RESTful APIs, with emphasis on reusable code and strong communication across technical and

Qualifications

• Proficient coding in Python with familiarity in a Linux environment.
• Experience turning prototypes into production components for ML products.
• Ability to design and implement libraries and services for machine learning tools.

Responsibilities

• Define and pursue the technical vision across ML toolkit projects.
• Collaborate with data scientists to productionize models.
• Develop reusable libraries and services for common ML needs.
• Promote adoption of toolkit libraries and services across teams.
• Collaborate within Data Science Team to identify reusable solutions.

Skills

Python

C/C++

Go

Linux

Docker

RESTful APIs

Cloud computing

Distributed systems

CI/CD

Autonomy

Communication

Adaptability

Detail oriented

Tools

Python

C/C++

Go

Linux

Docker

Job description

Crowe is looking for a data science tooling engineer to work on medium-term ML projects with a high degree of autonomy. You will help develop generalizable libraries and services, collaborate with data scientists to move models from prototype to production, and champion toolkit adoption across teams.

Join Crowe’s Data Science Team to build scalable ML infrastructure in a Linux environment, using Docker and RESTful APIs, with emphasis on reusable code and strong communication across technical and