1483466 Principal AI Platform Engineer/ AI Infrastructure Engineer(LLMOps / MLOps)- Remote
Tasks
- Automate feature stores and pipelines
- Automate model evaluation
- Build RAG infrastructure
- Build multi cloud CI CD pipelines
- Configure IAM and network security
- Deploy LLM and ML models
- Detect model drift and hallucinations
- Harden systems with security guardrails
- Implement continuous training pipelines
- Implement prompt model and data versioning
- Ingest legacy data into cloud workflows
- Manage vector databases
- Optimize scalable inference endpoints
- Own AI production lifecycle
- Provision AI infrastructure as code
- Set up LLM observability and monitoring
Perks/Benefits
Skills/Tech-stack
AI Search | AWS | Airflow | Arize Phoenix | Azure | Azure AI | Azure AI Search | Azure Content Safety | Bedrock Guardrails | CI/CD | CloudFormation | Consumption optimization | Content Safety | Continuous Training | Docker | Drift Detection | Firewall Configuration | Hallucination detection | IAM | Kubeflow | Kubernetes | LLMOps | Langsmith | Latency optimization | MLOps | Meteor | Model Drift | Model Drift Detection | Model Evaluation | Monitoring | Observability | OpenSearch | Pinecone | Private Networking | Prompt injection | Prompt-injection protection | PySpark | Python | RAG | ROUGE | SQL | Serverless Architectures | Step Functions | Terraform | Token Consumption Optimization | VPC Peering | Vector Databases | WhyLabs
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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