** Locations include Spring, Texas (preferred location), and US remote.
** Typically need at least Master's degree and minimum 5-8 years full-time relevant work experience.

The Team

We are a growing centralized team helping HP take advantage of new AI/ML technology, especially around Generative AI and large language models. We engage with business units to advise and prototype solutions, and we develop and run software applications for internal use.

The Role

As a Data Scientist with a focus on Generative AI you will work on multiple engagements across HP involving large language models and other new Generative AI capabilities. Beyond our team, you will work with business stakeholders and developers from other business units. Your primary focus and mindset is to help deliver business solutions to our customers. This is not an AI research role.

Skills and Profile

– Solid knowledge of data science and machine learning core skills.

– Experience with NLP, Large Langauge Models, LLM prompt engineering, vector databases, Retreival Augmented Generation (RAG), and search engines.

– Good computer science skills. Experience in a software development team is a big plus, especially with business applications in a cloud environment.
– Tools you may use include Azure services such as Azure Machine Learning and Azure prompt flow, as well as python, langchain, streamlit, docker, git, and elastic search.

Experience from a large complex organization, and ideally also some experience from a fast-moving SaaS company.
Ability to represent the team in meetings with a multitude of stakeholders and help drive discussions in a crisp but respectful manner. Mastery in English is required.
You enjoy explaining technical concepts (such as LLM's) to a non-technical audience.
You propose pragmatic solutions that are as simple as possible, which sometimes mean that no AI component is necessary.

– Experience working in a distributed team with diverse backgrounds.

– The recent AI progress is disruptive, and our team is in the midst of it. As a consequence, day-to-day priorities, tasks, and team structure may change rapidly. We are looking for somebody who thrives in such an environment. The role is not a fit if you value "business as usual".

Education and Length of Experience
For this position, we prefer at least a relevant Master's degree (e.g. Computer Science) or demonstrated competence and a minimum of 5-8 years experience.