NLP AI Engineer
Tasks
- Architect distributed training pipelines
- Build evaluation and benchmarking frameworks
- Deploy and serve machine learning models
- Design, fine-tune, and optimize large language models
- Develop dataset and synthetic data generation pipelines
- Develop safety testing and hallucination detection
- Ensure scalability security compliance and operational excellence
- Evaluate emerging NLP research and frameworks
- Implement retrieval-augmented generation pipelines
- Lead architecture reviews and mentor engineers
- Optimize GPU training and inference
Perks/Benefits
Skills/Tech-stack
AWS | Cloud platform | DeepSpeed ZeRO | Direct Preference Optimization | Distributed Training | Docker | Embedding Models | Experiment tracking | FSDP | Fine Tuning | Google Cloud | Google Cloud Platform | Hallucination detection | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | Microsoft Azure | Model Evaluation | Model Parallelism | PEFT | PPO | Pipeline parallelism | Preference optimization | PyTorch | Python | QLoRA | RLHF | Ray | Retrieval-Augmented Generation | Safety testing | Supervised Fine Tuning | Tensor Parallelism | Transformer | Vector Search
Education
Roles
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