AI Manager-DevOps
Tasks
- Coordinate cross functional delivery with data science product QA infrastructure and security
- Define application architecture and development standards
- Design scalable secure cloud-native AI solutions
- Drive Agile development practices and engineering governance
- Ensure AI applications are scalable reliable secure production ready
- Establish CI/CD pipelines and deployment automation
- Evaluate emerging AI technologies and best practices
- Lead end to end AI and ML application development and delivery
- Manage project delivery technical risks and stakeholder communication
- Perform technical reviews and mentor engineering teams
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Search | AWS Bedrock | Agentic AI | Amazon Web Services | Application Insights | Azure AI | Azure AI Search | Azure DevOps | Azure Monitor | Azure OpenAI | CD pipelines | CI/CD | CI/CD pipelines | ChromaDB | Cloud platform | DevSecOps | Docker | Event Driven | Event-driven architecture | Faiss | Git | GitHub Actions | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | Infrastructure as Code | JavaScript | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Logging and observability | Microservices | Microsoft Azure | Node.js | OpenAI | Pinecone | Prometheus | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | Terraform | Vector Databases | Vertex AI | Web Services | “as-code”
Education
N/A
Roles
AI | AI Development Manager | AI Manager | DevOps | DevOps Engineer | Development Manager | Engineer | Manager
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