12 Sep
Behavox
Montreal
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 engaging 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:
What Youll Bring
What Youll Do
What We Offer
About Our Process
We take Talent very seriously and we are building a community of extraordinary individuals working together in very high-performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.
During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.
The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers.
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