Senior Machine Learning Engineer, Recommendations (Experience)
Tasks
- Architect data pipelines and feature engineering
- Build real time model serving systems
- Create documentation and team best practices
- Debug complex issues across data pipelines and distributed systems
- Design APIs for ML features
- Develop test and productionize ML models
- Perform code reviews and mentoring
- Set up monitoring A B testing and metrics
- Train and deploy production ML systems
- Write technical RFCs and communicate trade offs
Perks/Benefits
- Creativity and Wellness benefits
- Employee equity plan
- Flexible PTO
- Free German courses
- Gym membership
- Professional development allowance
- Relocation support
- Snacks and meals in office
- Work from home flexibility
Skills/Tech-stack
A M L | A/B | A/B Testing | AWS | Airflow | B testing | BigQuery | Bigtable | Containerization | Docker | DynamoDB | ETL | Feature Engineering | GCP | Kubernetes | Machine Learning | Model Training | PyTorch | Python | Real Time | Real-time Serving | SQL | Scala | Spark | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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