AI/ML Engineer
Tasks
- Analyze IT operational data
- Architect AI automation
- Build internal automation tools
- Contribute to AI roadmap
- Define acceptance criteria
- Design AI solutions
- Develop AI and GenAI solutions
- Develop and train machine learning models
- Develop automation framework components
- Document automation processes and code
- Evaluate fine tune and integrate open source LLMs
- Gather customer requirements
- Identify process enhancement opportunities
- Manage Agile product backlog
- Perform data cleaning and feature engineering
- Prioritize features
- Provide SME guidance on AIOps and IT process automation
- Troubleshoot automation system issues
- Write user stories
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Anomaly Detection | Azure | Change Management | Cloud platform | Containerization | Data Analysis | Data cleaning | Deep learning | Docker | Feature Engineering | GenAI | Google Cloud | Google Cloud Platform | IT Service Automation | IT service | ITIL | Incident Management | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Network Protocols | Network Topologies | Networking | Orchestration | Powershell | Predictive Maintenance | PyTorch | Python | Request Management | Runbook Automation | Scripting | Service Request | Service automation | Service request management | Shell Script | VNet | VPC
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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