Senior AI ML Operations Engineer
Tasks
- Automate data pipeline workflows
- Automate retraining workflows
- Build AI/ML pipelines
- Collaborate with data scientists and engineers
- Deploy AI/ML models to production
- Design AI ML Ops platforms
- Ensure data governance compliance
- Implement CI/CD pipelines
- Implement data security measures
- Implement retrieval-augmented generation
- Manage fine tuning workflows
- Manage foundation model deployment
- Manage model versioning and governance
- Monitor data drift
- Monitor latency
- Monitor model performance
- Optimize GPU/CPU utilization
- Provision training and serving infrastructure
- Troubleshoot data platform issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Alerting | Azure | CI/CD | CPU Optimization | Data Drift | Databricks | Databricks Lakehouse | Docker | GCP | GPU Optimization | Knowledge graph | Kubernetes | Langchain | Langgraph | Latency optimization | MLOps | MLflow | Machine Learning | Model Deployment | Monitoring | Mosaic AI | Observability | Python | RAG | Retrieval-Augmented Generation | SQL | Terraform | Unity Catalog | Vector Database | Vector Search
Education
N/A
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