Job Description
We are looking for an experienced engineer with a deep understanding of LLMs such as GPT, LLaMA, Falcon, or similar. You will be responsible for fine-tuning, evaluating, and deploying LLMs tailored to specific use cases.
Responsibilities:
- Fine-tune and deploy state-of-the-art LLMs for various NLP tasks.
- Build and maintain robust NLP pipelines.
- Evaluate and improve model performance based on real-world applications.
- Collaborate with researchers and engineers to integrate LLMs into products.
Requirements:
- 3+ years of hands-on experience in NLP or LLM development.
- Strong programming skills in Python.
- Proficiency with frameworks such as HuggingFace Transformers, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures and tokenization.
- Experience with model training, evaluation, and inference on large-scale data.
- Familiarity with tracking tools like Weights & Biases or MLflow is a plus.
