Architect, build, and deliver AI solutions for customers during pre-sales stage.
Lead technical discussions with prospects and partners.
Demo AI solutions to prospects.
Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects.
Assist in any product or technical issue towards the initial sale or renewal.
Help enable prospects, partners, and internal HPE teams on AI landscape and solutions.

Requirements

Bachelor's, Master's, or other Advanced degree in Engineering, Computer Science, or similar quantitative focus.
4 years + experience working with Machine Learning or Deep Learning.
Experience working with Kubernetes.
Competency working with the latest LLM frameworks, both Open Source and proprietary.
Competency writing ML code (e.g. using PyTorch).
Experience with Python, Unix-like systems.
Understanding of hardware requirements associated with deep learning model training or inference.
Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities.
Experience working with on-premise hardware / GPU clusters.
Strong communicator, presenter and technologist evangelist.
Curiosity/interest in continuous learning.

Benefits

Health & Wellbeing: A comprehensive suite of benefits supporting physical, financial and emotional wellbeing.
Personal & Professional Development: Specific programs to help reach career goals.
Unconditional Inclusion: A commitment to inclusivity and celebrating individual uniqueness.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningDeep LearningKubernetesLLM frameworksPyTorchPythonUnix-like systemshardware requirementsdeep learning model trainingGPU clusters

Soft Skills

strong communicatorpresentertechnologist evangelistcuriosityinterest in continuous learning

Certifications

Bachelor's degreeMaster's degreeAdvanced degree