DevOps/ML Engineer (m/f/d)
Tasks
- Automate DevOps and MLOps pipelines
- Build data platforms data warehouses and data lakes
- Collaborate with architects data scientists and data engineers
- Design machine learning focused architectures
- Implement cloud and on-prem infrastructure
- Monitor systems and manage failover
- Recover and maintain machine learning solutions
- Translate business requirements into production solutions
Perks/Benefits
- Flexible work environment
- Gym membership subsidy
- Hackathons
- Public transport ticket Deutschlandticket
- Remote work option
- State-of-the-art equipment
- Team-building activities
- Training and conferences
Skills/Tech-stack
AWS | Apache Airflow | Apache Kafka | Apache Spark | Azure | Cloud platform | Dagster | Data Engineering | Databricks | DevOps | Google Cloud | Google Cloud Platform | Java | Kubernetes | MLOps | Machine Learning | NoSQL | Python | SQL | Scala
Education
N/A
Roles
DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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