AI Cloud Engineer III
Tasks
- Architect enterprise scale AI ML infrastructure
- Automate AI infrastructure deployments
- Build Generative AI RAG vector database LLM solutions
- Deploy production grade AI workloads across multi cloud
- Design Kubernetes based self service AI ML platforms
- Design cloud infrastructure standards and governance
- Develop LLMOps pipelines for evaluation and continuous improvement
- Develop MLOps pipelines for training deployment monitoring
- Implement security controls for AI/ML platforms
Perks/Benefits
- Certificate reimbursement
- Health benefits
- Medical insurance
- Professional development
- Remote work
- Shift allowance
Skills/Tech-stack
API Integration | AWS | Bash | Cloud platform | Containerization | CrewAI | Evaluation Frameworks | GPU Computing | Generative AI | Google Cloud | Google Cloud Platform | Guardrails | Infrastructure automation | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microsoft Azure | Model Monitoring | Model versioning | OpenAI API | OpenAI Compatible | OpenAI Compatible APIs | Powershell | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Serverless computing | Vector Databases
Education
Roles
AI Engineer | Cloud AI Engineer | Cloud Engineer | Cloud) | Engineer
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