Senior Machine Learning Engineer (MLOps)
Tasks
- Build Python scripts for data quality and model quality dashboards
- Coordinate model retraining and updates
- Create monitoring and alerting systems for production models
- Design machine learning deployment pipelines
- Develop CI CD workflows for machine learning systems
- Implement machine learning model monitoring and lifecycle management
- Troubleshoot production issues in real time
- Write and maintain MLOps tooling automation
Perks/Benefits
- Access to LinkedIn Learning
- Gym allowance
- Meal vouchers
- Private health insurance
- TGIF events
- Team building events
- Work from home 2 days per week
Skills/Tech-stack
AWS | Airflow | Athena | CI/CD | DevOps | Docker | EC2 | EMR | Infrastructure as Code | Kubernetes | Linux | MLOps | MLflow | Machine Learning | NumPy | Pandas | Python | S3 | Terraform | “as-code”
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