AI/ML Engineer & MLOps 80-100%
CHF 128K-227K (estimate) Senior-level Full Time
Tasks
- Build training and inference pipelines
- Create model documentation and compliance artifacts
- Design production ML and GenAI solutions
- Establish observability and alerting
- Implement CI CD workflows for ML workloads
- Implement Responsible-AI guardrails
- Implement monitoring for quality drift and latency
- Maintain runbooks and incident response
- Manage feature store patterns
- Manage model promotion dev test prod
- Operate model registry and versioning
- Perform experiment tracking and evaluation
- Run retraining triggers
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | Alerting | Amazon SageMaker | Azure Machine Learning | B testing | CI/CD | Dagster | Deep learning | Docker | Experiment tracking | Feature Store | GRPC | GenAI | Git | GitOps | Kubeflow | MLflow | Machine Learning | Model Registry | Monitoring | Observability | Prefect | Pulumi | PyTorch | Python | RAG | REST | SLO | Scikit-learn | TensorFlow | Terraform | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | MLOps Engineer
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