AI Solution Engineer

Key Skills

Aartificial intelligence, Deep Learning, Docker, GPUs, High performance computing- HPC, Infrastructure as code, Keras software library, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, TensorFlow, Unix Operating system, User support and Troubleshooting

Job Description

Hewlett Packard Enterprise advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.

At HPC, AI and Hewlett Packard Labs, we focus on cutting edge, high-performance, high-scale customer solutions serving a wide range of industries and end-users. Our organization includes High Performance Computing (HPC), Artificial Intelligence (AI), Edgeline, Moonshot and Hewlett Packard Labs.

As part of the AI Strategy and Solutions Group, your role will be to architect, test, and benchmark Deep Learning Software for customer sales engagements. You will be working closely with R&D, AI and HPC Solution Architects, HPC/AI Sales, external partners and pre-sales to run Proof of Concepts for Deep Learning Software solutions, both separate from and in conjunction with HPE hardware.

This activity will require a high level of interaction with various HPE organizations as well as partners and a deep knowledge of hardware platforms, AI software infrastructure, and solution development.

In a typical day as an AI Solution Engineer, your responsibilities would include:

• Lead Proof-of-Concepts for HPE customers expanding into Deep Learning or Machine Learning use cases
• Architect reusable end-to-end AI solutions for HPE customers and prospects
• Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions to address business challenges and opportunities through the use of AI
• Create and present demos of the product that aligns to customers’ or prospects’ needs.
• Assist in any product or technical issue towards an initial sale or renewal of a customer
• Help users, prospects, and partners understand the Deep Learning software infrastructure ecosystem and how it helps solve their problems
• Work in collaboration with other Pre Sales Engineers / Solution Architects to integrate the full solution pipeline

Your profile:

• 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
• Competency writing ML code using one of TensorFlow, Keras, or PyTorch
• Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
• Experience with data engineering, using and/or debugging open-source libraries used in enterprise infrastructure solutions such as Docker, Kubernetes
• Experience with Python, Unix-like systems, and top Cloud providers
• Understand the correlation of model, parameter density, data density – with resulting compute and storage requirements
• Understand the correlation between CPU, GPUs, memory for different types of models
• Strong knowledge of AI and HPC Software stack
• Ability to assess when is on-prem better than Cloud, or not.
• Understanding of how infrastructure scales as the model scales.
• Strong communicator, presenter and technologist evangelist
• Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI

At HPE, we’re:

• Ranked 19th on Fortune’s 2022 list of 100 Best Companies to Work For.
• Ranked 7th on Newsweek’s list of America’s Most Responsible Companies 2022
• Named the Best Place to Work for Disability Inclusion for the sixth year in a row
• Named one of the 100 Best Large Workplaces for Millennials in 2021
• Recognized as one of the Best Companies for Multicultural Women by Seramount

At HPE, our goal is to provide equal opportunities, flexible work-life balance. Aligning with HPE’s technical career path, HPE offers you both vertical and horizontal growth. If you are looking for challenges in an exciting, supportive, and international work environment, then we definitely want to hear from you.

Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers