Azure ML Engineer
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Job Summary
Azure ML Engineer / ML Ops Specialist
Join a team where knowledge is a hot commodity and where we love what we do!
Company
About Galileo Global Education
Galileo Global Education is a leading international higher education group focused on innovation creativity arts and culture. Our goal is to help students build strong career prospects by combining high-quality learning environments digital platforms industry expertise and global networks.
Galileo Global Education HUB in Hungary supports the Groups schools business units and support functions with dedicated IT services contributing to both digital transformation projects and daily IT operations.
About the role
We are looking for a hands-on ML Engineer / MLOps Specialist to support the design implementation and operation of machine learning solutions within a Microsoft Azure and Databricks environment.
The role combines machine learning engineering MLOps and a solid understanding of modern data architecture. The successful candidate will work closely with internal data teams and external vendor partners to ensure that ML solutions are scalable secure maintainable and cost-efficient.
Key responsibilities
Design and implement end-to-end machine learning pipelines on Azure and Databricks.
Operationalise ML models including deployment monitoring retraining and version management.
Build and maintain MLOps processes using CI/CD infrastructure as code and automated testing.
Define suitable Azure resources Databricks compute and deployment patterns with a strong focus on cost optimisation.
Integrate ML solutions with lakehouse-based data platforms and existing data pipelines.
Collaborate with data engineers architects business stakeholders and external vendors.
Review vendor solutions and ensure alignment with internal architecture security and operational standards.
Contribute to reusable ML platform components technical standards and documentation.
What we are looking for
Strong practical experience in ML engineering and MLOps including deploying operating monitoring retraining and versioning ML models in production.
Strong Python skills with practical experience in PySpark or Apache Spark.
Experience with Azure Databricks MLflow and preferably Azure Machine Learning.
Good understanding of lakehouse architecture Delta Lake layered data platforms data modelling data transformation and designing data structures for analytical and ML use cases.
Basic knowledge of data quality metadata lineage access-control concepts governance and integration of ML workloads with enterprise data platforms.
Knowledge of CI/CD Git Azure DevOps and infrastructure-as-code tools such as Terraform or Bicep.
Experience with cloud resource management monitoring and cost optimisation.
Good understanding of end-to-end Azure Data/AI solution architecture including security identity networking and scalable deployment patterns.
Ability to evaluate architecture alternatives considering performance security maintainability and cloud cost.
Experience collaborating with and technically overseeing external vendors including architecture and solution reviews.
Strong communication and interpersonal skills including listening to clients working in cross-functional teams and clear verbal and written communication.
Fluent English and Hungarian.
Great numerical and analytical skills.
Leadership and coaching mindset team spirit and ability to foster inclusive supportive team dynamics.
Readiness to work in the niche field of higher education where service and experience are paramount.
Service-oriented and autonomous approach: responsiveness to client requests flexibility versatility daily proactivity and thirst for learning.
Commitment to standards and consistency: insists on consistent engineering practices and documentation without creating unnecessary bureaucracy.
Nice to have
Fluent French would be a plus
Familiarity with higher education systems and processes is a plus.
Compensation & Perks
An attractive package designed for top talent:
A salary that values your expertise and impact
SZÉP card cafeteria benefits
Private health insurance
Home office opportunity 3 times a week
A vibrant community with great team-building events
Support for professional development and training
Application
The position is based in Budapest available immediately. Please apply with your English CV.
Required Experience:
IC
About Company
Ecole de design de référence à Paris, Lyon et Bangalore. Reconnue par l'État. Diplôme de designer visé par l'État. Formation Design, Modeleur 3d & Stratégies d'innovation.
