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What You’ll Work On:
- Fine-tuning pre-trained LLMs on small to medium datasets (500–20k examples)
- Implementing parameter-efficient fine-tuning (e.g., LoRA-style methods)
- Optimising training for cost and performance
Experience:
- Strong Python skills
- Experience with deep learning frameworks: PyTorch (preferred) or TensorFlow
- Experience with Hugging Face Transformers or similar ecosystems
What You’ll Gain:
- Real-world experience fine-tuning large models (30B–100B parameter class)
- Exposure to production constraints and deployment
- Opportunity to co-author technical writeups if applicable
TensorOps
They deliver cutting-edge ML and GenAI solutions across diverse industries and collaborate with global organizations. The company solves real-world challenges at scale with dynamic, high-impact projects.