Machine Learning Engineer, Search and Ranking Systems
Tasks
- Architect data flows for training and inference
- Build & deploy machine learning models
- Create reusable libraries and frameworks
- Design end-to-end MLOps pipelines
- Develop scalable model serving APIs
- Implement monitoring and alerting for data drift
- Implement monitoring and alerting for model performance
- Write tested maintainable production code
Perks/Benefits
- Community days
- Extra days off
- Flexible benefits program
- Flexible working environment
- Health insurance
- Sabbatical program
- Training opportunities
- Udemy access
Skills/Tech-stack
API Development | Apache Airflow | Apache Spark | Automated testing | Azure Data | Azure Data Lake | Azure Data Lake Storage | CI/CD | Data Lake Storage | Data Modeling | Databricks | Delta Lake | Docker | Git | Google BigQuery | Grafana | Kubernetes | Low Latency | Low-Latency Systems | MLOps | MLflow | Machine Learning | Multimodal | NLP | Prometheus | PySpark | Python | Redis
Education
N/A
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