Senior AI DevOps Engineer
Tasks
- Build and deploy distributed AI solutions
- Conduct quantitative performance studies
- Convert customer requirements into technical statements of work
- Create AI solution demos and blueprints
- Deliver internal training on emerging technologies
- Identify and implement standards and procedures
- Integrate product suite into customer proofs of concept
- Participate in beta testing for new product initiatives
- Present workshops and technical presentations
- Research and evaluate emerging tools
- Support technical PoCs for customers and partners
- Write technical whitepapers
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Lambda | Amazon Redshift | Amazon S3 | Amazon Web Services | Azure AI | Azure AI Foundry | BGP | BigQuery | Cloud Run | DDoS | Delta Sharing | Docker | Ethernet | Firewall | Google Cloud | Google Cloud Run | Graph Database | IPv4 | IPv6 | IS-IS | Kubernetes | LangFlow | Langchain | Langgraph | Linux | Litellm | Load Balancer | Microsoft Azure | Mission control | Multicast | NVIDIA Runai | OSPF | Ollama | Python | RAG | Retrieval-Augmented Generation | SD-WAN | SageMaker | Serverless | VLAN | VLLM | VXLAN | Vector Database | Vertex AI | Web Services
Education
Regions
Countries
States
Cities
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