Advanced LLM Model Fine-Tuning Specialist

1 month ago


Old Toronto, Canada Cpus Engineering Staffing Solutions Inc. Full time

Job Title: Advanced LLM Model Fine-Tuning Specialist

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Location: Hybrid, 2 days remote

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Job Type: Full-time

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Estimated Salary: $150,000 - $180,000 per year

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About Cpus Engineering Staffing Solutions Inc.:

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We are a leading provider of advanced language models and natural language processing solutions. Our team is dedicated to pushing the boundaries of AI and machine learning.

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Job Description:

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As an Advanced LLM Model Fine-Tuning Specialist, you will be responsible for advancing our language models' capabilities by leveraging your expertise in fine-tuning LLMs. You will collaborate closely with our team to develop and deploy state-of-the-art models, contributing significantly to our product's success.

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  • 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.
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Requirements:

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To succeed in this role, you will need:

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  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field (Ph.D. preferred).
  • Proven experience (>3 years) in fine-tuning Language Models (LLMs) with a deep understanding of LLM architectures (e.g., GPT, BERT, Transformer).
  • Extensive expertise in deep learning and machine learning, with a focus on natural language processing (NLP).
  • Hands-on experience in developing and deploying industrial-level deep learning models and applications.
  • Proficiency in utilizing local hardware for model training and deployment; experience with commercial SaaS platforms like Databricks and Azure ML is a strong plus.
  • Strong programming skills in languages such as Python, familiarity with relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
  • Excellent problem-solving abilities and a proactive approach to addressing challenges.
  • Strong communication skills and the ability to collaborate effectively in a team environment.
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Candidate Requirements:

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We offer competitive compensation and benefits packages, including salary ranges from $150,000 to $180,000 per year, depending on experience.



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