Lead AI Engineer
Tasks
- Add observability for AI systems
- Build AI guardrails
- Contribute to technical vision and roadmap for foundational AI systems
- Design, develop, test, deploy, and support AI software components
- Develop LLM optimization techniques
- Evaluate and test AI models
- Execute experimentation and governance
- Implement similarity search
- Improve LLM performance scalability cost latency and throughput
- Partner with cross-functional teams to deliver AI-powered products
- Run large language model inference
- Train foundation models
Perks/Benefits
Skills/Tech-stack
AI Governance | AWS | Azure | C# | C++ | Cost Optimization | Deep learning | Experimentation | Foundation Model | Foundation Model training | Go | Golang | Google Cloud | Guardrails | Hugging Face | Java | LLM Inference | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Model Training | NVIDIA NeMo Guardrails | NVIDIA Nemo | Nemo Guardrails | Observability | PyTorch | Python | Scala | Scalability Optimization | Similarity Search | Throughput Optimization | Vector Database
Education
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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