onsite
LLM Fine Tuning Engineer - Bright Vision Technologies
Research Engineer
Lead the design, training, and deployment of fine‑tuned large language models using Python, PyTorch, and Hugging Face, optimizing performance on GPU clusters to deliver scalable, secure AI solutions for business automation.
About the role
Key Responsibilities
- Design and implement fine‑tuning pipelines for large language models, tailoring architectures to specific business use cases.
- Develop and maintain data preprocessing workflows, ensuring high‑quality, labeled datasets for model training.
- Optimize training performance on GPU clusters, managing resource allocation and experiment tracking.
- Collaborate with cross‑functional teams to integrate fine‑tuned models into production applications, ensuring scalability and security.
- Document model behavior, performance metrics, and best practices for future reference and compliance.
Requirements
- Proven experience with Python, PyTorch, and Hugging Face Transformers in a production environment.
- Hands‑on experience with GPU‑accelerated training and distributed computing frameworks.
- Strong analytical skills and ability to translate business requirements into technical solutions.
- Excellent communication skills and a collaborative mindset.