Overview
Remote
$60 - $65
Contract - W2
Skills
Artificial Intelligence
Data scientist
Fine tuning
LORA
QLORA
RAG
Tensorflow
Job Details
Position - AI Engineer/ Data Scientist - Language Model Fine-Tuning Specialist
Job Description:
We are seeking a highly skilled Data Scientist with expertise in fine-tuning language models using proprietary company data. The ideal candidate will have a strong background in data preparation, model fine-tuning, and benchmarking, as well as staying updated on the latest advancements in the field.
Key Responsibilities:
Develop and prepare datasets for language model fine-tuning using proprietary data.
Fine-tune language models using techniques such as LoRA, QLoRA, and GRPO.
Benchmark model performance and analyze results to ensure optimal outcomes.
Stay current with the latest research and innovations in language modeling, including relevant arXiv papers.
Job Description:
We are seeking a highly skilled Data Scientist with expertise in fine-tuning language models using proprietary company data. The ideal candidate will have a strong background in data preparation, model fine-tuning, and benchmarking, as well as staying updated on the latest advancements in the field.
Key Responsibilities:
Develop and prepare datasets for language model fine-tuning using proprietary data.
Fine-tune language models using techniques such as LoRA, QLoRA, and GRPO.
Benchmark model performance and analyze results to ensure optimal outcomes.
Stay current with the latest research and innovations in language modeling, including relevant arXiv papers.
Requirements:
Proven experience in fine-tuning language models with proprietary datasets.
Required Tools and Technologies:
Proficiency in Python programming.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Familiarity with Hugging Face Transformers for language model manipulation.
Knowledge of data processing and manipulation libraries, such as Pandas and NumPy.
Experience with version control systems like Git.
Preferred Qualifications:
Experience with Relevance-Augmented Generation (RAG) and GraphRAG frameworks.
Experience with reasoning models and algorithm development.
Familiarity with additional machine learning tools and libraries.
Advanced degree in Computer Science, Data Science, or related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.