Lead AI Engineer - Remote, Scalable ML Systems

Hewlett Packard Enterprise; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Principal AI Engineer to design, develop, and deploy advanced ML models across large-scale data systems. The role emphasizes leadership, mentorship, and translating customer needs into AI solutions, with emphasis on scalable architectures and collaboration across data scientists, software engineers, and product managers.

The successful candidate will apply ML/DL techniques, data mining, NLP, and optimization to improve product and system performance, data

Qualifications

• Bachelor's or master's degree in computer science, engineering, data science.
• Experience applying ML/AI to large-scale data systems is preferred.
• Strong knowledge of ML algorithms, data preprocessing, feature engineering, and model deployment.

Responsibilities

• Design, develop, and deploy advanced ML models and algorithms.
• Lead cross-functional teams to integrate AI into products and systems.
• Research and experiment with novel AI approaches and disruptive technologies.
• Mentor junior engineers and drive best practices in AI/ML engineering.
• Ensure scalable, reliable AI architectures leveraging cloud and distributed computing.

Skills

Machine learning

Deep learning

Data analysis

Model evaluation

Technical leadership

Education

CS/Engineering/Data Science

Tools

Cloud services

Distributed computing

Data mining

NLP

Job description

Hewlett Packard Enterprise is seeking a Principal AI Engineer to design, develop, and deploy advanced ML models across large-scale data systems. The role emphasizes leadership, mentorship, and translating customer needs into AI solutions, with emphasis on scalable architectures and collaboration across data scientists, software engineers, and product managers.

The successful candidate will apply ML/DL techniques, data mining, NLP, and optimization to improve product and system performance, data