Cloud Solutions Architect
2 months ago
**Compensation**:
**Responsibilities**:
**Technical Skillset**:
- Prior experience in training and performance benchmarking LLM models (pre-training, model alignment methods like but not limited to supervised fine-tuning/LoRA/SteerLM/RLHF) using frameworks like NeMo/HuggingFace.
- Prior experience in deploying and performance benchmarking LLM models using various compiler/tools like TensorRT-LLM/vLLM/DeepSpeed-FastGen using low precision, quantisation methods.
- Strong background in information retrieval including dense and sparse vector search, fine-tuning embedding/re-ranking models.
- Prior experience in running/benchmarking multi-node jobs on SLURM/Kubernetes based clusters using container runtimes.
- Prior experience in deploying GPU based clusters on cloud platforms like GCP/Azure/AWS services.
- Strong hands-on experience in Python/CUDA C++ and DL frameworks like PyTorch.
**Customer Facing Skillset**:
- Strong interpersonal, communication skills, ability to work with various stakeholders including technical/product/business groups for internal and external stakeholders
**Skill Sets and qualifications required**:
**Qualification**:MCA, B.Tech / M.Tech - CS / IT
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