Senior Machine Learning Engineer
Tasks
- Build and scale AI powered data collection workflows
- Build evaluation frameworks for data quality and model performance
- Deploy and manage ML and LLM models in production
- Design scalable distributed event driven cloud native systems
- Detect model drift and reliability issues
- Develop LLM based RAG systems
- Implement agentic workflows and model tool integrations
- Implement model versioning and CI/CD
- Implement observability with monitoring logging tracing
- Maintain cost tracking and performance optimization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asynchronous processing | Azure | CI/CD | Distributed Systems | Docker | Embeddings | Experiment tracking | GCP | Kubernetes | LLM | MLOps | Machine Learning | Message Queues | Model Monitoring | Model Registry | Python | RAG | SQL | System design | Vector Databases
Education
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