MLops Engineer

il y a 3 semaines


Brussels, Belgique Proximus Temps plein

We are looking for an engineering profile with a data science background and a focus on MLops and Azure cloud environment to join our team.

We're building our cloud environment from the ground up and need new talent to join our team and help us scale to 100+ projects. Azure machine learning is a central component in the cloud architecture. Additionally, we want to improve our on-premises environment, which won’t disappear anytime soon, and blend some azure components in it.

Next to the MLops role, you'll have the opportunity to work on data science use cases, this entails you will help business define and scope the problem, pick the right machine learning solution and technology as well as ensure implementation, integration and deployment of your solution to production.

If you're someone who loves to think about architecture, set it up, and then figure out how to break it, we want to hear from you

Responsibilities

Automating everything related to the ML lifecycle to ensure efficiency and scalability. Using Infrastructure as Code (IaC) practices, such as Bicep, to manage and provision resources through code. Implementing best practices for continuous integration and delivery (CI/CD) pipelines , ensuring that ML models are reliably deployed to production environments. Collaborate with data scientists to deploy, monitor, and troubleshoot machine learning models and applications using Azure Machine Learning, Azure devops and Azure AI Services. Challenge our existing security and reinforce our defenses.

Profile

Master's degree in computer science, data science, engineering, or related field. At least 2 years of experience in data engineering, data science, or related roles. Proficient in Python. Experience with Azure cloud services and tools, notably azure machine learning and azure devops. Experience with mlops concepts and frameworks. Knowledge on containerized deployment of ML products – docker, podman, Kubernetes. Excellent communication, collaboration, and problem-solving skills. Fluent in English is a must. Dutch and/or French is considered as a plus.
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