✦ Luna Orbit — AI & Machine Learning

Data Protection - Presales Engineer

at Hewlett Packard Enterprise

Hybrid Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education PhD in Computer Science or related fields
Category AI & Machine Learning

This role involves research and development of advanced AI models and pipelines for Hewlett Packard Enterprise, focusing on trustworthy, reproducible, and multi-modal AI workflows.

  • Develop new AI methods
  • Work on multi-modal data pipelines
  • Advance foundation AI models
  • Manage meta-data and lineage
  • Research in generative AI

The position requires expertise in AI/ML, deep learning, NLP, large language models, data pipelines, and AI model architectures, with a focus on innovation and applied research.

The ideal candidate is a mid-level AI researcher with a PhD in Computer Science, specializing in generative AI, deep learning, and large language models, with extensive experience in developing and deploying AI pipelines.

PhD in Computer Science or related fields3+ years industry experience in AI/MLResearch experience in Generative AIDeep LearningExperience with AI model architectures like LLMsDiffusion ModelsEnd-to-end AI/ML pipelines
Experience with data pipelines (DVCPachyderm)Knowledge of AI workflows and reproducibility
DVCPachyderm
Machine LearningDeep LearningNLPLLMTime SeriesComputer VisionGenerative AIData ManagementBig Data PipelinesData Engineering
Machine LearningDeep LearningNatural Language ProcessingLarge Language ModelsTime Series AnalysisComputer VisionGenerative AIData ManagementBig Data PipelinesData EngineeringData ScienceAI Model ArchitecturesReproducibilityMeta-data Management
ResearchInnovationCollaborationProblem-solvingCommunication
Industry Technology
Job Function Research and development of AI models and pipelines for advanced AI applications
Machine LearningDeep LearningNatural Language ProcessingLarge Language ModelsTime Series AnalysisComputer VisionGenerative AIData ManagementBig Data PipelinesData EngineeringData ScienceAI Model ArchitecturesReproducibilityMeta-data Management

Lack of PhD or relevant industry experience, No experience with AI model architectures like LLMs, Unwillingness to work in a hybrid environment

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