HPE Networking
AIandMachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI and Machine Learning Engineer at HPE Networking. Skills: AI, Machine Learning, Deep Learning. Develop software algorithms. Analyze structured data”
What You'll Achieve.
Simplify journeys; Reduce friction; Create meaningful outcomes; Shorten resolution times; Accelerate task completion
Industry & Context.
Problem solving; Troubleshooting
What They're Looking For.
Must Have
5+ years Python, 5+ years machine learning, 5+ years statistical modeling, 5+ years deep learning
Nice to Have
Master's degree, PhD
What You'll Do.
Develop software algorithms
Analyze structured data
Analyze unstructured data
Work with computing frameworks
Work with data analysis systems
Work with modeling environments
Use machine learning techniques
Use statistical modeling techniques
Improve product performance
Improve system performance
Improve data management
Improve data accuracy
Translate specifications into code
Apply deep learning technologies
Optimize deep learning algorithms
Scale deep learning algorithms
Give computers visualization capability
Give computers learning capability
Give computers response capability
Document installation procedures
Document maintenance procedures
Define performance metrics
Monitor performance metrics
Translate customer requirements
Translate industry trends
Conduct research in AI
Conduct research in machine learning
Explore emerging technologies
Identify opportunities
Analyze business requirements
Understand constraints
Propose machine learning models
Propose machine learning algorithms
Consider maintainability
Provide technical guidance
Mentor junior team members
Participate in technical discussions
Provide thought leadership
Work closely with stakeholders
Understand stakeholder requirements
Translate requirements into solutions
Collaborate with cross-functional teams
Ensure project alignment
Implement AI projects
Implement machine learning projects
Drive continuous improvement
Identify areas of improvement
Promote adoption of best practices
Evaluate third-party tools
Integrate third-party tools
Enhance AI capabilities
Facilitate design review sessions
Ensure alignment with requirements
Ensure alignment with best practices
Mentor junior team members during reviews
Collaborate with engineering manager
Collaborate with team lead
Refine design strategies
Refine implementation strategies
Provide constructive feedback
Participate in meetings
Ensure effective coordination
Ensure effective communication
Prepare presentations
Deliver presentations
Maintain business intelligence tools
Update business intelligence tools
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Business teams; Product managers; Data scientists; Business analysts
Communication Scope
Presentations; Reports
Full Job Description
AI and Machine Learning 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. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation. Our work is fuelled by a passion for self‑service, intelligen
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