Live opening · Posted 6 days ago
Deep Learning Engineer
Nanonets · Bangalore
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At a glance
The key details from the original listing.
CompanyNanonets
LocationBangalore
Experience6-10 yrs
SkillsDeep Learning, DL, JAX, PyTorch, TensorFlow, Transformer, Transformers
Source
Instahyre
ListedPosted 6 days ago
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About the role
Description supplied by the original job listing.
Must-have: Hands-on model training
fine-tuned DL models.
Pre-training, continued pre-training, SFT, PEFT/LoRA/QLoRA, distillation, RLHF/RLAIF, SSL, domain adaptation.
Strong preference: Modern Transformer / Foundation Models:
LLaMA / Qwen / Mistral / Gemma / GPT-style models
Vision-Language Models Qwen-VL, LLaVA, etc.
Vision Transformers / ViT
LayoutLM / document Transformers
Speech/Audio Transformers
Custom Transformer architecture development
Preferred backgrounds include:
PyTorch / TensorFlow / JAX
Transformers
CNNs / ViTs
Attention mechanisms
Representation learning
Fine-tuning and optimization
Distributed training
Model evaluation
Production model deployment High-throughput inference GPU optimization vLLM / TensorRT / Triton / SGLang Quantization / pruning / distillation Distributed training/inference Kubernetes / ML infrastructure Model monitoring and evaluation
Skills
DL, JAX, PyTorch, TensorFlow, Transformer, deep learning, transformers
Experience
6-10 yrs
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