Senior AI/ML Engineer (f/m)
Tasks
- Automate deployment via CI/CD
- Collaborate with data scientists
- Define technical standards and best practices
- Design AI solutions
- Develop AI services and APIs
- Develop and deploy ML solutions
- Ensure code quality
- Implement and maintain MLOps pipelines
- Integrate AI with data platforms and cloud
- Monitor model performance
- Work in agile teams
Perks/Benefits
- 22+ vacation days
- Childcare support
- Flexible hours
- Free healthcare services
- Full salary during sick leave
- Health insurance
- Hybrid work
- International environment
- Life and accident insurance
- Meal vouchers
- Social fund
- Training and certifications
- Transport aid
Skills/Tech-stack
AWS | Automation | Azure | Azure ML | CI/CD | Cloud services | CloudFormation | Data Pipelines | Deep learning | Docker | GCP | Git | IaC | Kubeflow | Kubernetes | LLMs | MLOps | MLflow | Model Deployment | Monitoring | Observability | PyTorch | Python | REST APIs | Regulated Environments | SageMaker | Scikit-learn | Software Engineering | TensorFlow | Terraform | Vertex AI
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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