Data Scientist with LLM

About IntellectFaces:
Company Description IntellectFaces is a technology solutions and consulting services provider specializing in AI/ML, Digital Transformation, Agile/DevSecOps, Blockchain, Cloud Migration, and Salesforce services. As an 8a certified and Women Owned Minority business headquartered in Ashburn, VA, with over 13+ years of experience, we cater to Federal & Commercial clients across various industries.

We are looking for a motivated Data Scientist with experience in Large Language Models (LLMs) to join our team remotely. This role offers an excellent opportunity to work with advanced AI technologies and contribute to meaningful projects.

Job Description:

As a Data Scientist specializing in Large Language Models (LLMs), you will be responsible for developing and deploying AI models that process and generate natural language. You will work closely with cross-functional teams to understand business requirements, design AI-driven solutions, and implement models that drive insights and automation.

Model Development: Develop, fine-tune, and deploy LLMs to solve various natural language processing (NLP) tasks such as text generation, classification, summarization, and sentiment analysis.
Data Analysis: Perform data collection, cleaning, and preprocessing to prepare datasets for model training and evaluation.
Collaboration: Work closely with data engineers, software developers, and product managers to integrate models into production environments and develop end-to-end AI solutions.
Research: Stay updated with the latest advancements in NLP and LLMs, experimenting with new techniques to enhance model performance.
Evaluation: Evaluate model performance using relevant metrics and iterate on models based on feedback and testing results.
Documentation: Document model development processes, experiments, and results to ensure transparency and reproducibility.

Technical Skills:

• Proficiency in Python and popular libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or similar.
• Experience with NLP techniques such as tokenization, vectorization, and sequence modeling.
• Familiarity with cloud platforms (AWS, GCP, Azure) and experience deploying models in cloud environments.
• Strong analytical and problem-solving skills with the ability to tackle complex challenges using data-driven approaches.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.