
Senior NLP Model Developer
1 week ago
We are seeking a highly skilled and experienced Lead NLP Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying cutting-edge natural language processing models.
Key Responsibilities:
- Design and develop transformer-based NLP models for various tasks including text generation, summarization, classification, and translation.
- Fine-tune pre-trained models on domain-specific datasets to optimize for specific tasks.
- Create contextually relevant prompts to guide model outputs for desired performance.
- Implement and refine instruction-based prompting strategies to achieve contextually accurate results.
- Apply zero-shot, few-shot, and many-shot learning methods to maximize model performance without extensive retraining.
- Leverage Chain-of-Thought (CoT) prompting for structured, step-by-step reasoning in complex tasks.
- Evaluate model performance using BLEU, ROUGE, and other relevant metrics; identify opportunities for improvement.
Must-Have Skills:
- 7+ years of experience in software/AI development with at least 2+ years in transformer-based NLP models.
- 4+ years of hands-on expertise with transformer architectures.
- Strong understanding of attention mechanisms, self-attention layers, tokenization, embeddings, and context windows.
- Proven experience in fine-tuning pre-trained models for NLP tasks.
- Expertise in prompt engineering, including zero-shot, few-shot, many-shot learning, and prompt template creation.
- Proficiency in Python and NLP libraries/frameworks such as Hugging Face Transformers, SpaCy, NLTK, PyTorch, TensorFlow.
- Strong knowledge of model evaluation metrics.
Good to Have:
- Experience with LLM observability tools and monitoring pipelines.
- Exposure to cloud platforms for scalable model deployment.
- Knowledge of MLOps practices for model lifecycle management.
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