Lead AI/ML Engineer
Tasks
- Define AI KPIs and OKRs
- Define architecture for LLM based systems and agent workflows
- Define prompt engineering best practices and evaluation monitoring
- Deliver production grade AI solutions with observability
- Develop Copilot integrated enterprise solutions
- Integrate AI ML solutions with APIs and enterprise systems
- Lead end to end AI ML system design and implementation
- Make build buy decisions for model lifecycle and platform services
- Manage vendors and approve external solutions
- Mentor engineering teams
- Set AI roadmaps and reference architectures
- Write production code for AI ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Azure | Continuous Improvement | Data Contracts | Distributed Systems | Enterprise APIs | Fine Tuning | LLM | Machine Learning | Microservices | Model Evaluation | Observability | Prompt engineering | Python | Resiliency | Retrieval-Augmented Generation | Risk Management | Service Mesh
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
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