Machine Learning Engineer - Generative AI Location Remote in Spring, TX : Locations include Spring, Texas (preferred location), US remote, Porto Alegre Brazil, and Guadalajara Mexixo. HP occasionally offers work authorization sponsorship for critical need roles. However, this opportunity currently does not offer work authorization sponsorship.
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 Machine Engineer you will work to rapidly develop AI-powered software applications, especially internal business applications powered by large language models. You will work closely with data scientists and engineers, using the latest tools and technologies. If in line with career interests, this position may also take on some scrum master and team coordination tasks.
Skills and Profile Solid machine learning engineering experience with business applications in a cloud environment Significant experience with NLP applications and unstructured data. Fluency in python Technologies you may use include Azure services such as Azure Machine Learning, Azure AI Search as well as python, micro services, docker, CI/CD, Elastic Search, SQL and NoSQL. Plus for LLM experience and Open AI API Plus for search technologies and vector databases. Plus for general software engineering skills, as well as Data Science skills. 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". Experience working in a distributed team with diverse backgrounds. Mastery in spoken and written English is required. Education and Length of Experience Bachelor's degree in Computer Science or similar, or demonstrated competence, plus typically a minimum of 7-10 years of relevant experience or equivalent. Master's degree preferred.
