Sr Machine Learning / AI Engineer / MLOps Engineer
Tasks
- Automate security upgrades for ML dependencies
- Build agent monitoring and observability
- Continuously improve uptime and reliability
- Develop agent evaluation tooling
- Harden deployment reliability
- Implement monitoring and alerting
- Manage deployment lifecycle
- Operate production ML infrastructure
- Run incident response and rollbacks
- Run load simulations for LLM applications
- Support performance testing and benchmarking
Perks/Benefits
Skills/Tech-stack
Automated Evaluation | Docker | Feature Store | GitHub Actions | GitOps | Kubernetes | Langchain | Langsmith | Language Models | Large Language Models | Learning operations | Llamaindex | Machine Learning | Machine Learning Operations | Messaging | Model Monitoring | Model Registry | Python | RAG | Regression tracking | System design | Threat modeling
Education
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