AI/ML Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital-first world - setting new standards for the future of networking.

We enable customers, partners, and employees through AI-driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in innovation with purpose: applying automation, AI, and data-driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.

DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction - delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. By modernizing processes and accelerating self-service, we help shift support from reactive to truly anticipatory.

We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through process optimization, and automation. Our work is fueled by a passion for self-service, intelligent automation, and building digital experiences that are intuitive, scalable, and human-centric.

Responsibilities:

Develop, maintain, and optimize data pipelines and workflows and Feature Store to ensure seamless data ingestion and transformation as a scalable data solution.

• Design, develop, implement, and architect pipelines, considering performance & scalability including data storage and processing.