Az álláshirdetés lejárt.
Our client is a leading international provider of private higher education, consisting of numerous privately owned schools, educational institutions, business units, and various departments across multiple countries. Due to continued growth and expansion, they are looking for a Azure ML Engineer to join their team.
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.
Requirements
- 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.
What they offer
- Budapest office location (9th district)
- Hybrid work model with 3 days per week home office
- Cafeteria benefit (SZÉP card)
- Training and professional development support
- Private health insurance
- Year-end bonus based on individual and company performance