Senior Machine Learning Engineer for AI Product
Tasks
- Build ML Ops framework
- Create alerts and dashboards
- Deploy ML models to production
- Develop ML models end-to-end
- Implement quality assurance for ML
- Integrate ML solutions into product ecosystem
- Monitor model drift and performance
- Set up automated retraining pipelines
- Share best practices and mentor peers
- Train evaluate and iterate on ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | ArgoCD | Automated retraining | Drift Detection | FastAPI | GitHub | Kafka | Kibana | MLOps | Machine Learning | Model Drift | Model Drift Detection | PostgreSQL | Prometheus | Python | Snowflake
Education
N/A
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