Senior Machine Learning Engineer / MLOps (Stone)
Tasks
- Architect machine learning pipelines
- Build inference APIs
- Build machine learning systems
- Build scalable data pipelines
- Containerize machine learning services
- Create ML CI CD pipelines
- Define serving strategy batch vs online
- Develop real-time streaming pipelines
- Ensure scalability and low latency
- Implement distributed data processing
- Implement infrastructure-as-code
- Maintain production machine learning pipelines
- Manage feature store to prevent data leakage
- Monitor model quality and drift
- Set up alerts for monitoring
- Track machine learning experiments
Perks/Benefits
- Childcare support
- Dental insurance
- Health insurance
- Home office support
- Life insurance
- Meal vouchers
- Medical support
- Relocation support
- Telemedicine
Skills/Tech-stack
AWS | Apache Kafka | Azure | CI/CD | DBT | Databricks | Delta Lake | Docker | FastAPI | Feature Store | GCP | GitHub Actions | Infrastructure as Code | MLOps | MLflow | Machine Learning | OpenAI | PySpark | Python | Spark | Spark SQL | Streaming Data | “as-code”
Education
N/A
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