Hewlett Packard Enterprise
AIandMachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI and Machine Learning Engineer at Hewlett Packard Enterprise. Skills: AI, Machine learning, Deep learning. Develop software algorithms. Analyze structured data”
What You'll Achieve.
Turn insights into outcomes; Simplify journeys; Reduce friction; Create meaningful outcomes; Shorten resolution times; Accelerate task completion; Deliver seamless omnichannel experiences; Enable business transformation
Industry & Context.
Complex technical problems; Complex business problems
What They're Looking For.
Must Have
Develops and programs integrated software algorithms, Work with large scale computing frameworks, Uses machine learning and statistical modeling techniques, Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms, Translates technical specifications into code, Applies, optimizes and scales deep learning technologies and algorithms, Documents procedures for installation and maintenance, Completes programming, Performs testing and debugging, Defines and monitors performance metrics, Translates customer requirements and industry trends into AI/ML products, Conducts advanced research in AI and machine learning, Designs and architects AI solutions, Considers scalability, performance, and maintainability, Works closely with stakeholders, Collaborates with cross-functional teams, Evaluates and integrates third-party tools or services, Facilitates design review sessions, Collaborates closely with engineering manager, Participates in and coordinates meetings, Prepares and delivers detailed presentations and reports, Interprets and reports data findings, Maintains or updates specific business intelligence tool
Nice to Have
Project lead experience
What You'll Do.
Develop software algorithms
Analyze structured data
Analyze unstructured data
Leverage structured data
Leverage unstructured data
Improve product performance
Improve system performance
Improve data management
Improve data accuracy
Scale deep learning technologies
Scale deep learning algorithms
Give computers visualization capability
Give computers learning capability
Give computers response capability
Document installation procedures
Document maintenance procedures
Translate customer requirements
Translate industry trends
Improve AI/ML products
Improve AI/ML solutions
Improve AI/ML systems
Conduct advanced research
Explore emerging technologies
Identify opportunities
Apply cutting-edge techniques
Architect AI solutions
Analyze business requirements
Understand constraints
Propose machine learning models
Propose machine learning algorithms
Consider maintainability
Provide technical guidance
Participate in technical discussions
Understand stakeholder requirements
Translate requirements into solutions
Implement AI/ML projects
Drive continuous improvement
Identify areas of improvement
Explore new techniques
Explore new technologies
Promote adoption of best practices
Integrate third-party tools
Integrate third-party services
Enhance AI capabilities
Facilitate design review sessions
Ensure alignment with requirements
Ensure alignment with best practices
Mentor junior team members
Refine design strategies
Refine implementation strategies
Provide constructive feedback
Ensure effective coordination
Ensure effective communication
Prepare presentations
Deliver presentations
Translate technical concepts
Interpret data findings
Maintain business intelligence tools
Update business intelligence tools
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering manager; Team lead
Communication Scope
Technical presentations; Data reporting
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
Applying for this AI and Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Hewlett Packard Enterprise?
Real rants from real employees. Read before you apply.