Hewlett Packard Enterprise
edge-to-cloud
StorageAIArchitect
“Storage AI Architect at Hewlett Packard Enterprise. Skills: AI/ML algorithms, Deep learning, Natural language processing, Computer vision. Lead end-to-end AI product/solution design. Ensure scalability, security, efficiency”
What You'll Achieve.
Deliver measurable value and impact; Drive sustainable growth and profitability; Satisfy future and current unmet customer needs; Achieve high-performance outcomes
Industry & Context.
Exceptional analytical and problem-solving skills; Navigate complex technical challenges; Drive impactful solutions
Work on average 2 days per week from an HPE office
What They're Looking For.
Must Have
Bachelor's or master’s degree in computer science, engineering, information systems, or closely related quantitative discipline, 15-20 years' experience, Expertise in AI/ML algorithms, Deep learning expertise, Natural language processing (NLP) expertise, Computer vision expertise, Hands-on experience with relevant AI/ML frameworks, Deep expertise in software systems design, Deep expertise in development methodologies, Deep expertise in integration across diverse platforms and technologies, Storage business acumen, Exceptional analytical and problem-solving skills, Track record of driving technological innovation, Exceptional communication and stakeholder management skills
Nice to Have
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)
What You'll Do.
Lead end-to-end AI product/solution design
Integrate with enterprise systems
Translate business challenges into AI solutions
Define AI roadmap and strategy
adopt cutting-edge technologies
Drive development of methodologies
Influence decisions with domain expertise
Align technology initiatives with business objectives
Champion continuous innovation culture
Build technical community
Provide strategic guidance to senior technical teams
Analyze data processing problems
Develop and implement solutions
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders; Collaborate with cross-functional teams; Collaborate with data scientists; Collaborate with ML engineers; Collaborate with software developers; Connect others across functions; Unite around a common goal; Provide mentorship to senior technical teams; Foster a culture of collaboration
Communication Scope
Exceptional communication skills; Convey complex technical concepts to non-technical audiences
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