Principal/Senior ML Platform Engineer (Cortex)
Tasks
- Automate ML lifecycle pipelines
- Build LLM serving infrastructure
- Collaborate with data scientists and security researchers
- Implement model training and fine tuning workflows
- Integrate observability with training loops
- Integrate platforms with cloud infrastructure
- Monitor model performance and data drift
- Optimize GPU utilization and compute throughput
- Scale distributed training infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Data Drift | Data drift monitoring | Deep learning | DeepSpeed | Distributed Training | Docker | Drift monitoring | GCP | GitHub Actions | GitLab CI | Kubernetes | LLMOps | MLOps | Machine Learning | Megatron-LM | Observability | PyTorch | Python | RAG
Education
N/A
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