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HP Enterprise AI & Machine Learning is seeking a Data Scientist focusing on Generative AI to develop sophisticated GenAI models for cloud and edge deployment. You will collaborate with stakeholders, scope initiatives, and deliver business value through scalable solutions.
Applicants should have a PhD or Master’s in AI/CS with 5+ years in GenAI, strong ML fundamentals, and experience with LLMs, retrieval, and deployment. Excellent communication and mentoring skills are expected.
HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP’s AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company. As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you’ll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.
Recommended PhD related to AI or a Master’s degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and statistical modeling.
Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills Strong foundation in data science and core machine learning concepts. Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines. Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus. Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker. Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups. Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required. Able to explain technical concepts (e.g., LLMs) to non-technical audiences. You suggest pragmatic solutions that are as simple as possible—even if that means no AI is required.
The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Job - Data & Information Technology
Schedule - Full time
Shift - No shift premium (United States of America)
Travel - Relocation
Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily.
The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
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