Senior AI/ML Engineer (m/f/d)
Tasks
- Automate model deployments with CI CD
- Collaborate in agile, multidisciplinary teams
- Convert prototypes into production solutions
- Define technical standards and architecture
- Design AI and machine learning solutions
- Develop and deploy machine learning models
- Develop model services and APIs
- Ensure software code quality with testing
- Implement MLOps pipelines
- Implement model observability
- Integrate AI solutions with data platforms and cloud systems
- Monitor model performance and drift
- Train validate version and deploy models
Perks/Benefits
- Childcare support
- Continuous training
- English and German classes
- Flexible hours
- Free specialist services
- Health insurance
- Hybrid work
- Life and accident insurance
- Paid vacation
- Restaurant tickets
- Sick pay coverage
- Social fund
- Transportation assistance
Skills/Tech-stack
AWS | Azure | Azure Machine Learning | Azure Resource | Azure Resource Manager | Batch Processing | CI/CD | Cloud platform | CloudFormation | Data Pipelines | Deep learning | Docker | Git | Google Cloud | Google Cloud Platform | Grafana | Infrastructure as Code | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Observability | Prometheus | PyTorch | Python | REST APIs | Resource manager | SageMaker | Scikit-learn | Streaming | TensorFlow | Terraform | Vertex AI | “as-code”
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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