onsite
LLM Engineer - Bright Vision Technologies
LLM Engineer
Lead the design, training, and deployment of large language models to automate business processes, leveraging Python, PyTorch, Hugging Face, and cloud platforms for scalable, secure solutions.
About the role
Key Responsibilities
- Design, train, and fine‑tune large language models using PyTorch and Hugging Face pipelines to solve business automation challenges.
- Develop end‑to‑end data pipelines for text preprocessing, annotation, and model evaluation.
- Deploy models as scalable, secure APIs on cloud platforms (AWS/GCP) and monitor performance in production.
- Collaborate with product, data science, and DevOps teams to integrate LLM capabilities into user‑facing applications.
- Document best practices, model cards, and maintain reproducible training workflows.
Requirements
- Strong experience with Python, PyTorch, and Hugging Face Transformers.
- Proficiency in NLP concepts, tokenization, and fine‑tuning large models.
- Hands‑on experience deploying ML models to cloud services (AWS SageMaker, GCP AI Platform).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.