Senior Machine Learning Engineer, Recommendations (Experience)
Tasks
- Architect data pipelines for large scale event processing
- Build feature engineering pipelines
- Build real-time serving systems
- Conduct code reviews and mentor teammates
- Debug distributed data and ML system issues
- Design model training and serving infrastructure
- Develop and maintain APIs for ML features
- Develop production ML models
- Monitor model performance and user impact
- Orchestrate ETL workflows
- Run A/B testing
- Write technical documentation and RFCs
Perks/Benefits
- Book allowance
- Employee equity plan
- Flexible vacation policy
- Free German courses
- Gym membership
- Photography course
- Professional development allowance
- Relocation support
- Snacks and lunches
- Work from home
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Airflow | B testing | BigQuery | Bigtable | Cloud platform | Containerization | Data Pipelines | Distributed Systems | Docker | DynamoDB | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Kubernetes | Machine Learning | Model Serving | Model Training | PyTorch | Python | Real Time | Real-time Serving | SQL | Scala | Spark | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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