Lead LLM Model Fine-tuning Specialist
3 weeks ago
Job Title: Lead LLM Model Fine-tuning Specialist
Cpus Engineering Staffing Solutions Inc. is seeking a highly skilled Languages, Linguistics & Literature professional for an exciting opportunity to advance our language models' capabilities.
We are offering a competitive salary of $120,000 - $180,000 per year, depending on experience, and a comprehensive benefits package that includes health insurance, 401(k) matching, and paid time off.
About the Role:
We are looking for a seasoned expert in fine-tuning Large Language Models (LLMs) to optimize performance across various NLP domains and tasks. As a Lead LLM Model Fine-tuning Specialist, you will be responsible for advancing our language models' capabilities by leveraging your expertise in fine-tuning LLMs.
Your Key Responsibilities:
- Lead the fine-tuning of Large Language Models (LLMs) to optimize performance across various NLP domains and tasks.
- Utilize expertise in deep learning and machine learning architectures to customize and optimize model's performance in terms of accuracy and efficiency.
- Collaborate with cross-functional teams to integrate fine-tuned models into industrial-level applications and products.
- Evaluate and pre-process large-size text and numerical datasets for model training, ensuring high-quality inputs.
- Support the development and deployment of models on local hardware and commercial SaaS platforms like Databricks and Azure ML.
- Stay updated with the latest advancements in LLMs and implement best practices for model fine-tuning and NLP techniques.
You'll Be Successful If:
- You have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field (Ph.D. preferred).
- You have proven experience (>3 years) in fine-tuning Language Models (LLMs) with a deep understanding of LLM architectures (e.g., GPT, BERT, Transformer).
- You have extensive expertise in deep learning and machine learning, with a focus on natural language processing (NLP).
- You have hands-on experience in developing and deploying industrial-level deep learning models and applications.
- You are proficient in utilizing local hardware for model training and deployment; experience with commercial SaaS platforms like Databricks and Azure ML is a strong plus.
- You possess strong programming skills in languages such as Python, familiarity with relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
- You have excellent problem-solving abilities and a proactive approach to addressing challenges.
- You have strong communication skills and the ability to collaborate effectively in a team environment.
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