Job Description
Job Summary :
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 fieldStrong experience in prompt engineering, RAG architectures, and large language models : GPT, Claude, Gemini, LLaMAProficiency in PythonExperience with data preprocessing, fine-tuning, and evaluation of machine learning modelsSolid understanding of machine learning principles, NLP techniques, and vector databasesExcellent analytical, problem-solving, and research skillsStrong written and verbal communication abilities with a focus on clarity and precisionWorking knowledge of data privacy and security regulations : GDPR, HIPAAExperience building or deploying RAG pipelines in production environmentsBenefits :
Medical, Dental, & Vision Insurance PlansEmployee-Owned Profit Sharing (ESOP)401K offeredThe 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.