Senior AI Engineer – Architecture & Platform (m/w/d)
Tasks
- Automate AI deployment
- Create technical documentation and knowledge sharing
- Define reference architectures and best practices
- Design solution architecture for AI use cases
- Develop generative AI solutions
- Implement AI platform platform and MLOps
- Implement validation and test procedures
- Monitor model performance and efficiency
- Optimize deployed models
- Professionalize AI infrastructure
- Scout new AI technologies
Perks/Benefits
- Bike leasing
- City transit card
- Commute subsidy
- Company pension
- Corporate benefits
- Fitness subsidy
- Health insurance
- Hybrid work
- Paid training
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS SageMaker | Agentic Workflows | Amazon EKS | CI/CD | Docker | Embeddings | Generative AI | Infrastructure as Code | Kubeflow | Kubernetes | Language Models | Large Language Models | ML operations | MLflow | Machine Learning | Retrieval-Augmented Generation | Serverless computing | Terraform | Vector Databases | “as-code”
Education
Roles
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