Senior MLOps / AI Engineer
Tasks
- Deploy machine learning models
- Design machine learning pipelines
- Ensure logging metrics incident handling
- Ensure production reliability
- Expose machine learning models through inference APIs
- Implement machine learning CI CD workflows
- Implement model monitoring and alerting
- Maintain operational readiness for models
- Retrain machine learning models
- Support data science teams industrialize models
- Support model and experiment productionization
- Write scalable testable maintainable observable code
Perks/Benefits
- Conferences
- Discounted ClassPass subscription
- E-learning
- Edenred lunch vouchers
- Flexible work schedule
- Knowledge sharing sessions
- Modern office
- Premium healthcare
- Worklife sustainable mobility package
Skills/Tech-stack
AWS | Alerting | BigQuery | CI/CD | Cloud Run | Elasticsearch | Google Cloud | Inference API | Kafka | Logging | Machine Learning | Metrics | Monitoring | Python | SQL | Scala | Spark | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | MLOps Engineer
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