Hybrid AI/ML Solutions Architect

Hewlett Packard Enterprise; Spring (TX); Hybrid; USD 141,000 - 325,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Hewlett Packard Enterprise is seeking an AI and ML Solution Architect to design and implement scalable ML solutions across products and systems. The role involves collaborating with engineering and product teams to translate business needs into AI-enabled architectures.

The position requires deep ML knowledge, strong coding skills in Python/R/Java, and hands-on experience with TensorFlow, PyTorch, and scikit-learn. It is a hybrid role with 2 days weekly in an HPE office in the United States.

Qualifications

• Bachelor's or master's degree in computer science, engineering, data science, ML/AI or related quantitative field.
• Typically 7–10 years of experience in AI/ML roles.

Responsibilities

• Conduct research and stay updated with AI/ML advancements, exploring techniques to solve complex problems.
• Collaborate with cross‑functional teams to design AI/ML solutions aligned with business needs.
• Develop, train, and optimize ML models on large datasets and monitor performance metrics.
• Deploy models to production with attention to scalability, security, and reliability.
• Mentor junior engineers and guide design reviews to maintain code quality.

Skills

Python

Machine learning

R

Java

Data analysis

Education

Bachelor's or Master’s in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Git

Job description

Hewlett Packard Enterprise is seeking an AI and ML Solution Architect to design and implement scalable ML solutions across products and systems. The role involves collaborating with engineering and product teams to translate business needs into AI-enabled architectures.

The position requires deep ML knowledge, strong coding skills in Python/R/Java, and hands-on experience with TensorFlow, PyTorch, and scikit-learn. It is a hybrid role with 2 days weekly in an HPE office in the United States.