ABOUT BEHAVOX

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise.
Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.
We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.

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 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 DO

• Manage and troubleshoot complex distributed large-scale software systems
• Build scalable, secure and reliable container-based infrastructure
• Design the cloud infrastructure
• Automate software delivery processes with CI\CD pipelines
• Develop tools, services, and scripts (Python)