Senior Machine Learning Engineer- LLMs & Self-Hosted AI
Tasks
- Architect model deployment infrastructure on AWS SageMaker
- Build offline and online evaluation frameworks
- Deploy and optimize large scale inference with vLLM
- Design fine-tuning strategies
- Develop agentic chatbot tool use and routing
- Develop asynchronous model serving microservices
- Orchestrate multi GPU deployments
- Run A B testing and analyze results
- Transition to self hosted LLM ecosystem
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AUC | AWQ | AWS SageMaker | Asynchronous | Attention Mechanisms | B testing | Bash | Bootstrapping | DPO | DVC | Data cleaning | Dataset versioning | Experiment tracking | F1-score | FastAPI | Fine Tuning | FlashAttention | Function Calling | GPTQ | Gguf | Hugging Face | LLM architectures | LoRA | MLflow | MRR | Mann Whitney U Test | Microservices | Model Registry | Multi-GPU | NDCG | PEFT | Precisión | PyTorch | Python | Quantization | RAG | RLHF | Ray | React | Recall | SFT | T-tests | TGI | Text Generation | Tool-Calling | VLLM | Weights and Biases
Education
N/A
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