AI/ML Engineer & MLOps 80-100%
Glattpark AmbassadorHouse, Switzerland
CHF 128K-192K (estimate) Senior-level Full Time
Tasks
- Build reusable ML and GenAI components and libraries
- Build training inference pipelines
- Coach teams on MLOps and LLMops best practices
- Create model documentation and compliance artifacts
- Define SLOs and implement monitoring and alerting
- Deploy and operate ML and GenAI services
- Design production ML and GenAI solutions
- Develop CI CD workflows for ML and LLMOps
- Implement RAG components
- Implement monitoring drift and retraining mechanisms
- Implement responsible AI guardrails and audit logs
- Maintain model registry versioning and retraining triggers
- Maintain runbooks and participate in incident response
- Manage model promotion dev test prod
- Run experiment tracking and evaluation harnesses
- Set up feature store patterns and validation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | Amazon SageMaker | Audit Logging | Azure Machine Learning | B testing | CI/CD | Dagster | Docker | Drift Detection | Experiment tracking | Feature Store | GRPC | GenAI | Git | GitOps | Google Vertex | Google Vertex AI | Kubeflow | Kubernetes | LLMOps | MLOps | MLflow | Machine Learning | Model Registry | Monitoring | Prefect | Pulumi | PyTorch | Python | REST | Responsible AI | Retrieval-Augmented Generation | SLI | SLO | Scikit-learn | TensorFlow | Terraform | Vertex AI
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | MLOps Engineer
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