DevOps Engineer 3 (ML Infra)

About the Role

The Machine Learning Operations team at Behavox designs and builds the next-generation cutting-edge tooling, infrastructure, and web interfaces that enable the building of efficient ML models, including LLM. We are exposed to a wide range of interesting challenges that include (but are not limited to) : building infrastructure that enables scalable development of ML models; building scalable and secure data infrastructure; development and deployment of ML services. As a DevOps Engineer, you will work on Kubernetes-based infrastructure in AWS and GCP, CI / CD / CT processes for ML models and services, data infrastructure. If you are interested in taking your career to the next level and building the next generation AI Infrastructure then this is the right place for you.

For the right Talent, this is a great opportunity because :

1. It's a greenfield. Our team is young and we can choose any tools and frameworks that we consider the best ones to fulfill the requirements.

2. Huge impact. You will work on the ML and data infrastructure components that are directly related to the efficiency of ML models - the heart of the company's success.

3. Visibility - all the services will be used by other departments immediately; you will have a lot of feedback.

What You'll Bring

• A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and / or technologies
• Linux system administration expertise, solid knowledge of Linux and networks
• Designing and managing infrastructure in a public cloud (AWS, GCP)
• Hands-on experience with Kubernetes
• Development and scripting skills (Python, Bash)

What You'll Do

What We Offer