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Our client is seeking a Senior Data Scientist to join their team! This position is located in the Denver, Colorado area.
Duties :
Design, implement, and refine prompts for various AI applications leveraging LLMs and RAG frameworks
Integrate and configure LLM-based solutions within enterprise systems and workflows
Conduct ongoing research to stay current with advancements in prompt engineering, RAG architectures, and LLM technologies
Preprocess and analyze large datasets to support fine-tuning and training of language models
Create detailed documentation and training materials to guide internal teams on best practices for prompt engineering and LLM utilization
Collaborate with cross-functional teams, including data engineers, product managers, and researchers, to drive effective AI adoption
Ensure compliance with data privacy, security, and governance standards in all AI activities
Contribute to the development of innovative AI solutions that enhance automation, personalization, and decision-making across the business
Desired Skills / Experience :
Bachelor's in Computer Science, Data Science, Artificial Intelligence, or a related field
Strong experience in prompt engineering, RAG architectures, and large language models : GPT, Claude, Gemini, LLaMA
Proficiency in Python
Experience with data preprocessing, fine-tuning, and evaluation of machine learning models
Solid understanding of machine learning principles, NLP techniques, and vector databases
Excellent analytical, problem-solving, and research skills
Strong written and verbal communication abilities with a focus on clarity and precision
Working knowledge of data privacy and security regulations : GDPR, HIPAA
Experience building or deploying RAG pipelines in production environments
Benefits :
Medical, Dental, & Vision Insurance Plans
Employee-Owned Profit Sharing (ESOP)
401K offered
The approximate pay range for this position starting at $145,000 - $160,000 . Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.