Senior LLM Engineer: Text & Reasoning LLM / NLU
Tasks
- Architect and maintain inference servers
- Build ML pipelines for training evaluation and deployment
- Document experiments and results
- Drive benchmarking and experiment reproducibility
- Drive features from design through deployment
- Ensure PCI and PII compliance
- Ensure production stability and performance
- Fine tune specialized language models
- Implement closed loop self learning systems
- Lead LLM and NLU technical development
- Mentor engineers through code reviews
- Research and experiment on model architectures
- Resolve technical ambiguity and make architecture decisions
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Amazon Bedrock | Closed Loop | Closed Loop Machine Learning | Entity Extraction | Experiment tracking | Experimentation | FastAPI | Fine Tuning | HuggingFace Transformers | Inference Server | Intent Classification | Language Processing | ML pipelines | MLflow | Machine Learning | Model Deployment | Model Distillation | Model Evaluation | Model Fine-tuning | Multi-step Planning | Multilingual NLP | Natural Language | Natural Language Processing | PCI Compliance | PII compliance | Prompt engineering | PyTorch | Python | Self-Learning | Text Generation | Text generation inference | Tool use | Triton Inference | Triton Inference Server | VLLM | Weights and Biases
Education
N/A
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