Senior Machine Learning Engineer
Tasks
- Automate end to end ML lifecycle workflows
- Build ML infrastructure and data foundations
- Design high throughput low latency ML systems
- Develop agentic AI and LLM RAG workflows
- Implement ML observability reliability and cost guardrails
- Lead incident response and root cause analysis
- Set technical direction and mentor MLEs
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Airflow | B testing | CI/CD | Data Lineage | Data Structures | Databricks | Distributed Systems | Docker | Drift Detection | EKS | EMR | Embeddings | Feature Freshness | Feature Pipeline | Feature Store | Flyte | Hive | Java | Kotlin | Model Monitoring | Offline Feature Pipeline | Online Feature Pipeline | Performance optimization | Python | RAG | SLA | SLI | SLO | Scala | Spark | Vector Search
Education
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