NLP AI Engineer
Tasks
- Build evaluation and benchmarking frameworks
- Collaborate with AI researchers and product teams
- Deploy and serve models in production
- Design large language model architectures
- Develop dataset and synthetic data pipelines
- Ensure scalability security compliance and operations
- Fine-tune large language models
- Implement retrieval-augmented generation pipelines
- Implement safety testing and hallucination detection
- Lead architecture reviews and mentor engineers
- Optimize distributed training pipelines
- Optimize training and inference performance
Perks/Benefits
Skills/Tech-stack
AWS | Cloud platform | DeepSpeed ZeRO | Direct Preference Optimization | Distributed Training | Distributed inference | Docker | Embeddings | FSDP | Fine Tuning | Google Cloud | Google Cloud Platform | Hallucination detection | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Model | Large Language Model | Llamaindex | LoRA | MLOps | Microsoft Azure | Model Evaluation | Model Parallelism | PEFT | PPO | Pipeline parallelism | Preference optimization | PyTorch | Python | QLoRA | RAG | RLHF | Ray | Responsible AI | Retrieval-Augmented Generation | Supervised Fine Tuning | Synthetic data | Tensor Parallelism | Transformer | Vector Search
Education
Roles
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