Degree in Artificial intelligence- AI
Degree in Information Technology
Aartificial intelligence, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Docker, Generative AI, Large Language Models - LLMs, Natural Language Processing (NLP), NoSQL, OpenAPI, Planning and organization, Product Management, Project management, SQL
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
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.
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
The Hewlett-Packard Company, commonly shortened to Hewlett-Packard or HP, was an American multinational information technology company headquartered in Palo Alto, California, that developed and provided a wide variety of hardware components, as well as software and related services to consumers, small and medium-sized businesses (SMBs) and large enterprises.
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