Lead AI/ML Engineer
Tasks
- Define KPIs OKRs and report to executives
- Define architecture for LLM based systems
- Define model lifecycle data contracts and platform services
- Deliver production grade AI with observability
- Design agent workflows and AI enabled services
- Establish AI roadmaps and reference architectures
- Establish best practices for prompt engineering and evaluation
- Guide Copilot integrated enterprise solutions
- Implement AI ML systems to production
- Integrate AI ML solutions with APIs and enterprise platforms
- Lead end to end AI ML system design
- Manage vendors and approve external solutions
- Set engineering standards and mentor teams
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent workflow | Artificial Intelligence | Azure | Continuous Improvement | Copilot Agent | Data Processing | Distributed Systems | Fine Tuning | Language Models | Large Language Models | Machine Learning | Microservices | Microsoft 365 | Microsoft 365 Copilot | Microsoft Graph | Model Evaluation | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Service Mesh
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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