Lead AI Engineer
Tasks
- Build foundation model training pipelines
- Contribute to technical vision and long-term roadmap
- Create guardrails for AI systems
- Design, develop, test, deploy, and support AI software components
- Develop similarity search with vector databases
- Evaluate models and run experimentation
- Implement governance and observability for AI systems
- Implement large language model inference services
- Improve hardware utilization for production AI systems
- Optimize LLM training and inference for scalability cost latency throughput
- Partner with cross-functional teams to deliver AI-powered products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | C# | C++ | Cost Optimization | Deep learning | Experimentation | Foundation Models | Go | Golang | Guardrails | Huggingface | Java | LLM optimization | Large Language Model | Large language model inference | Latency optimization | Machine Learning | Model Evaluation | Model Governance | Model Inference | NVIDIA Nemo | Observability | PyTorch | Python | Scala | Similarity Search | Throughput Optimization | Vector Databases | VectorDBs
Education
Roles
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