AI Automation Engineer III
Tasks
- Analyze IT operational data
- Build internal automation tools
- Contribute to AI automation roadmap
- Define acceptance criteria
- Design and architect AI solutions
- Develop AI solutions for business needs
- Develop and train machine learning models
- Develop automation framework components
- Document automation processes code and models
- Evaluate fine tune and integrate large language models
- Execute PowerShell runbooks
- Execute Python runbooks
- Gather requirements and validate solutions
- Identify process enhancement opportunities
- Manage product backlog
- Perform data cleaning and feature engineering
- Provide AIOps subject matter expertise
- Resolve AI model issues
- Troubleshoot automation systems
- Write user stories
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AIOps | Anomaly Detection | Azure | Capacity Planning | Change Management | Cloud platform | Containerization | Data Analysis | Data cleaning | Deep learning | Docker | Feature Engineering | Fine Tuning | Google Cloud | Google Cloud Platform | IT Service Automation | IT service | ITIL | Incident Management | Java | Kubernetes | LLM Fine-tuning | Language Models | Large Language Models | Machine Learning | Monitoring | Network Topology | Networking protocols | Orchestration | Powershell | Predictive Maintenance | PyTorch | Python | Runbook Automation | Service Requests | Service automation | Shell Script | VNet | VPC
Education
N/A
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