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Tier-1 employer, metro location, hot generative AI skillset, and broad mid-level requirements increase applicant competition.
Skills are moderately transferable across industries but require ML/AI specialization and LLM experience.
Explicit 2–4 year requirement plus specific LLM, ML frameworks, and CI/CD skills create strict filters.
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Design, develop, deploy, and optimize AI/ML and Generative AI solutions, including applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks.
Create and maintain AI agents, chatbots, and intelligent automation workflows, ensuring accuracy, scalability, and performance of AI models.
Collaborate across product, engineering, and business teams while applying responsible AI practices related to security, privacy, and ethics.
2 to 4 years of experience in AI/ML, Data Science, or Software Engineering.
Strong programming skills in Python with hands-on experience in Machine Learning, Deep Learning, and model development.
Experience with Generative AI, LLMs, prompt engineering, and frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, OpenAI or Azure OpenAI APIs.
Hybrid work model requiring approximately 2 days per week onsite at HPE office; degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Experienced in implementing practical AI-driven solutions involving Large Language Models and RAG architectures in production environments.
Familiar with cloud-native AI services, microservices, REST APIs, and CI/CD pipelines within Agile frameworks.
Strategic collaborator who can integrate AI innovations responsibly across business and engineering teams.