Cloud Engineer II -AI
Tasks
- Architect AI/ML infrastructure
- Automate infrastructure and deployment workflows
- Build Kubernetes based AI platforms
- Build MLOps and LLMOps pipelines
- Deploy and serve LLMs with enterprise AI services
- Design cloud infrastructure standards and governance
- Design generative AI RAG solutions
- Develop self service environments for AI workloads
- Implement security controls for AI/ML platforms
- Monitor evaluate and improve AI workloads
- Optimize LLM inference and model serving
Perks/Benefits
- Certificate reimbursement
- Health benefits
- Medical insurance
- Professional development
- Remote work days
- Shift allowance
Skills/Tech-stack
API Integration | AWS | Accelerated compute | Azure | Bash | Cloud platform | Containerization | CrewAI | Document ingestion | Embedding Workflows | GPU-accelerated compute | Generative AI | Google Cloud | Google Cloud Platform | Guardrails | Infrastructure automation | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Evaluation | OpenAI Compatible | OpenAI Compatible APIs | Powershell | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Security Governance | Semantic Kernel | Serverless computing | Vector Database | Vector Search
Education
N/A
Roles
AI Engineer | Cloud AI Engineer | Cloud Engineer | Cloud) | Engineer
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