Design and Build AI Infrastructure
As a Machine Learning Systems Engineer, you will design and build core infrastructure for artificial intelligence models. This involves developing tools for the machine learning lifecycle and driving best practices in model operations.
You will work closely with data scientists to foster collaboration and ensure seamless integration of machine learning systems.
The ideal candidate has a Bachelor's degree in Computer Science and over 2 years of software engineering experience. Strong skills in Python and Kubernetes are essential.
This role offers hybrid work flexibility and competitive benefits.
Responsibilities include:
* Designing and building AI infrastructure
* Developing tools for the machine learning lifecycle
* Driving best practices in model operations
* Collaborating with data scientists
Qualifications include:
* Bachelor's degree in Computer Science
* Over 2 years of software engineering experience
* Strong skills in Python and Kubernetes
Benefits include:
* Hybrid work flexibility
* Competitive benefits
Join our team as a Machine Learning Systems Engineer and be part of a dynamic team that is passionate about artificial intelligence and machine learning.