Senior Software Engineer (MLOps)

Introduction

Our partner is the largest ICT employer in Hungary. They provide a wide portfolio of IT and telecommunications services with more than 4500 employees. The company continuously develops its four sites in Hungary and is looking for skilled IT professionals to join its team.

Tasks

We are searching for a Senior Software Engineer to join our highly skilled team in the area of AI and ML with the respective skill set in the area of CI/CD and Kubernetes on automated infrastructures (e.g. AWS). The candidate will have the chance to grow into emerging technologies of AI as well.

Ensure that scalable IT infrastructures are created in the cloud.
Build robust data pipelines using data from our customers.
You will integrate ML models into ML infrastructure and ensure that they function correctly.
Implementation of AI and ML automation.
You are responsible for different CI/CD pipelines - private and public cloud providers (e.g. AWS).
Continuous Deployment (automation, and SW quality aspects).
Gitlab Pipelines.

Expectations

Container architectures (K8S Docker)
Ingress Control
Templating of k8s manifests
Experience in programming (ideally Python)
Exposure to public cloud providers (ideally AWS)
Experience in logging and monitoring (ELK)
Experience in developing/consuming RESTful API
Docker Security
Linux experience

Advantageous

Apache/Cloudera
Basic Frontend experience in order to adapt config interfaces
Kubeflow

Employer's offer

Home office opportunity.
You have the opportunity to integrate in a constantly evolving company.
Above average salary 13th month bonus.
A stable long-term opportunity.
Varied and exciting tasks.
Training opportunities.

Senior Software Engineer (MLOps)

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