Join Our Team as an MLops Engineer
Are you passionate about data science and cloud environments? Do you have a knack for building and scaling cloud infrastructures? If so, we have an exciting opportunity for you to join our team as an MLops Engineer at Proximus Group in Brussels.
About the Role
As an MLops Engineer, you will play a crucial role in building our cloud environment from the ground up. You will be part of a dynamic team focused on scaling our operations to support over 100 projects. Azure Machine Learning is a central component of our cloud architecture, and you will have the opportunity to integrate Azure components into our on-premises environment.
Key Responsibilities
- Automate ML Lifecycle: Ensure efficiency and scalability by automating everything related to the ML lifecycle.
- Infrastructure as Code: Use Infrastructure as Code (IaC) practices, such as Bicep, to manage and provision resources through code.
- CI/CD Pipelines: Implement best practices for continuous integration and delivery (CI/CD) pipelines, ensuring reliable deployment of ML models to production environments.
- Collaboration: Work closely with data scientists to deploy, monitor, and troubleshoot machine learning models and applications using Azure Machine Learning, Azure DevOps, and Azure AI Services.
- Security: Challenge existing security measures and reinforce our defenses.
Your Profile
- Educational Background: Master's degree in computer science, data science, engineering, or a related field.
- Experience: At least 2 years of experience in data engineering, data science, or related roles.
- Technical Skills: Proficient in Python and experienced with Azure cloud services and tools, notably Azure Machine Learning and Azure DevOps.
- MLOps Expertise: Familiarity with MLOps concepts and frameworks.
- Containerization: Knowledge of containerized deployment of ML products, such as Docker, Podman, and Kubernetes.
- Communication Skills: Excellent communication, collaboration, and problem-solving skills.
- Language Proficiency: Fluent in English; Dutch and/or French is a plus.
Why Join Us?
- Innovative Environment: Be part of a team that is at the forefront of digital transformation and innovation.
- Career Growth: Opportunities to work on diverse projects and develop your skills in a supportive environment.
- Impactful Work: Contribute to shaping a fair, trustworthy, and inclusive digital world.
If you are someone who loves to think about architecture, set it up, and then figure out how to break it, we want to hear from you! Apply now to join our team and help us build the future of digital services.
Proximus Group is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Benefits Extracted with AI
- Hybrid work environment
- Opportunity to work on 100+ projects
- Collaboration with international teams
Similar jobs
Last update: 23 minutes ago
MLOps Engineer (Data Science)
Seeking an MLOps Engineer with expertise in Data Science, Python, and Azure in Brussels.
Machine Learning Engineer
Join Proximus Group as a Machine Learning Engineer to develop AI solutions in a hybrid work environment.
Machine Learning Engineer
Join Proximus Ada as a Machine Learning Engineer to develop AI solutions using Python and Azure in a hybrid work environment.
Senior Machine Learning Engineer
Senior Machine Learning Engineer needed in Antwerp, Belgium. Expertise in Python, ML, MLOps required. Join our innovative team at Dataroots.
Software Engineer - MLOps
Join Dataiku as a Software Engineer in MLOps, focusing on developing MLOps features and capabilities in Amsterdam.
Expert Machine Learning Engineer
Join Dataroots as an Expert Machine Learning Engineer to design and deliver AI-powered solutions, focusing on machine learning models.
Experienced Data Engineer
Join Tropos.io as an Experienced Data Engineer in Antwerp, Belgium. Engage in building high-quality data solutions with a leading IT consulting firm.
Technical MLOps Engineering Lead
Lead MLOps engineering at SAP, focusing on Azure, Databricks, and AI Core. Drive ML operations and integration.
MLOps Engagement Engineer
Join Nebius AI as an MLOps Engagement Engineer to design and optimize ML workflows using Kubernetes, Docker, and Slurm.
MLOps Engineer
Join Pruna AI as an MLOps Engineer to optimize machine learning infrastructure and enhance AI operations remotely.
AI Engineer
Join Belfius as an AI Engineer in Brussels, leveraging ML to solve business challenges in a dynamic team.
Senior Analyst Developer
Senior Analyst Developer at Proximus Group, Brussels. Expertise in GraphQL, PeopleSoft, technical analysis. Hybrid work, competitive benefits.
Data Scientist - Machine Learning and Generative AI
Join Mollie as a Data Scientist focusing on ML and GenAI, developing models for monitoring domains in a hybrid work environment.
Azure Cloud Engineer
Join Solita as an Azure Cloud Engineer to design and implement cloud solutions using Azure, AWS, or Google Cloud. Develop your skills in a dynamic team.
Machine Learning Engineer
Join Mollie as a Machine Learning Engineer in Lisbon to develop and deploy ML capabilities across various domains.
Software Engineer - MLOps
Join Dataiku as a Software Engineer in Berlin, focusing on MLOps features and capabilities. Enhance ML model automation and interfaces.
Data Engineer with Microsoft Azure Expertise
Join Xylos as a Data Engineer to develop modern data platforms using Microsoft Azure, Python, and SQL in a hybrid work environment.
Machine Learning Engineer - English Speaker
Join Regnology as a Machine Learning Engineer in Paris, focusing on AI/ML solutions, MLOps, and international collaboration.
Data Scientist - Machine Learning, Milan
Join Mollie in Milan as a Data Scientist focusing on ML models for Monitoring Domain, using Python, AI, and more.
MLOps Engineer
Join Poppi Technologies as an MLOps Engineer in Valenzano, Italy. Work with AI models, DevOps, and cloud platforms to drive innovation in finance.
Senior Data Scientist - Generative AI and NLP
Senior Data Scientist role focusing on Generative AI, NLP, and machine learning in a hybrid work environment in Brussels.
Senior DevOps Engineer
Senior DevOps Engineer role focusing on cloud environments, automation, and technical leadership in De Pinte, Belgium.
Mid-Level DevOps Engineer with Python Skills
Join APG as a Mid-Level DevOps Engineer with Python skills, focusing on CI/CD, Azure DevOps, and Linux environments.
Project Manager Data & AI
Join Savaco as a Project Manager in Data & AI, leading data-driven projects with Microsoft Azure expertise in Kortrijk, Belgium.