Senior Machine Learning Engineer
Tasks
- Build scalable AI driven data collection workflows
- Create data quality and evaluation frameworks
- Deploy and maintain ML and LLM models in production
- Design distributed event driven cloud native platform components
- Develop LLM based RAG and enrichment systems
- Evaluate emerging AI ML technologies for automation
- Implement agentic workflows and model tool integrations
- Implement observability with monitoring logging tracing
- Manage model versioning registry and rollout strategies
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asynchronous processing | Azure | CI/CD | Classification | Distributed Systems | Docker | Drift Detection | Embeddings | Entity Extraction | Experiment tracking | GCP | Kubernetes | MLOps | Machine Learning | Message Queues | Model Deployment | Model Monitoring | Model Registry | Observability | Prompt orchestration) | Python | RAG | Retrieval-Augmented Generation | SQL | Summarization | System design | Vector Databases
Education
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