LLM Fine-Tuning Engineer
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
About This Role
Requirements
- Demonstrate 3+ years of experience with machine learning or deep learning model development
- Hands-on expertise fine-tuning large language models using frameworks like PyTorch or TensorFlow
- Strong proficiency in Python and familiarity with Hugging Face Transformers library
- Experience optimizing model inference for latency and cost in production environments
- Solid understanding of NLP fundamentals, tokenization, and attention mechanisms
- Ability to design and execute experiments with clear metrics and documentation
Required Skills
Pre-screened Candidates
0No candidates available for review yet.
All profiles are anonymized for fair evaluation
Similar Positions
Candidates may also fit these roles
Senior LLM Engineer
Remote
We're seeking a Senior LLM Engineer to lead the development of Large Language Model solutions for our AI-first recruiting platform. You'll architect and optimiz…
Deep Learning Engineer
3 matchedRemote
We're hiring a Deep Learning Engineer to build and optimize neural networks powering our AI-first recruiting platform. You'll design and deploy production-grade…
Image Recognition Engineer
2 matchedRemote
We're seeking an Image Recognition Engineer to build and optimize computer vision models that power our AI-first recruiting platform. You'll design and deploy i…
Foundation Model Engineer
1 matchedRemote
We're seeking a Foundation Model Engineer to build and optimize large language models powering our AI-first recruiting platform. You'll work on model fine-tunin…