Machine Learning Engineer
Tasks
- Benchmark evaluate and monitor model performance
- Build ML Operations platform
- Build containerized deployment environments
- Collaborate to support and optimize ML models
- Deploy AI models to production
- Evaluate and integrate cloud native services
- Implement inference pipelines
- Integrate models into production platform
- Manage ML model artifacts versioning
- Monitor log and observe model systems
- Transform proof of concept models into production
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Bash | Batch Processing | CI/CD | Data Lakes | Docker | Git | Kubernetes | Learning operations | Linux | Machine Learning | Machine Learning Operations | Model Monitoring | NoSQL | Object storage | Observability | Python | SQL | Software Deployment | Streaming Pipelines | Terraform | Unit Testing
Education
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