Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise gibrid bulut va sun’iy intellektga asoslangan operatsiyalarni yurituvchi tashkilotlar uchun korporativ texnologiyalarni ishlab chiqadi. Uning portfeli HPE ProLiant serverlari va HPE Cray yuqori unumli hisoblash tizimlari, HPE Alletra ma’lumot saqlash yechimlari, HPE Aruba tarmoq texnologiyalari, sun’iy intellekt platformalari va tayyor AI fabrikalari, shuningdek xizmat sifatida taqdim etiladigan GreenLake yechimlarini qamrab oladi. HPE, shuningdek, yirik tashkilotlarga infratuzilmasini modernizatsiya qilish, ma’lumotlar markazi muhitlarini boshqarish va sun’iy intellektni keng miqyosda joriy etishda yordam beradigan Zero Trust va SASE kabi xavfsizlik imkoniyatlari bilan bir qatorda professional, maslahat va qo‘llab-quvvatlash xizmatlarini ham taqdim etadi.

Senior Applied Machine Learning Engineer

Build and deploy customer-focused AI and machine learning solutions at Hewlett Packard Enterprise. Develop production integrations, AI agents, and scalable models for HPE products.

Tavsif

  • Build and deploy machine learning models and AI solutions that address customer needs.
  • Create demos, proofs of concept, MVPs, and workflows to showcase emerging AI and machine learning capabilities.
  • Test new AI and machine learning methods and tools through working prototypes.
  • Integrate and improve open-source tools such as MLflow, Spark, LangChain, and Kubeflow in production environments.
  • Support reliable operation on platforms such as Kubernetes.
  • Tune models and algorithms, including deep learning systems, for accuracy, efficiency, and scale.
  • Turn customer needs and industry trends into AI and machine learning improvements for products, data management, and system performance.
  • Work with product managers, data scientists, and engineering teams to design and deploy solutions.
  • Record procedures and best practices.
  • Lead integrations for emerging AI tools.
  • Mentor junior colleagues.
  • Keep leadership informed about progress and challenges.

Talablar

  • PhD and at least 2 years of relevant industry experience, or equivalent experience with a master’s degree and 4 or more years, or a bachelor’s degree and 6 or more years.
  • Substantial hands-on experience applying machine learning and AI in customer-facing or end-user settings.
  • Demonstrated ability to deploy reliable, performant models in production.
  • Experience with open-source AI and machine learning tools and frameworks.
  • Experience with backend programming languages, including Python and Go.
  • Proficiency in developing, using, and maintaining AI agents.
  • Experience coding agents for automation or decision-making tasks.
  • Strong written and verbal communication skills, particularly for asynchronous collaboration.
  • Preferred: experience with AI agents and automation.
  • Preferred: knowledge of inference deployment and optimization.
  • Preferred: familiarity with large-scale data pipelines.
  • Preferred: experience with retrieval-augmented systems such as RAG.

Imtiyozlar

  • Broad health and wellbeing coverage for physical, financial, and emotional wellness.
  • Programs for personal and professional growth.
  • Flexible work arrangements to support work and personal needs.
  • An inclusive workplace culture.
  • Reasonable accommodations for applicants with disabilities during the application or interview process.

O‘xshash ish o‘rinlari

Cisco

Senior Platform Software Engineer, AI/ML GPU Infrastructure

Cisco

Build Cisco’s AI compute platform and GPU infrastructure, including Kubernetes control planes, GPU scheduling, and distributed systems at scale.

Ochish
Wells Fargo

Senior Lead, AI Enablement

Wells Fargo

Lead AI adoption across Legal, Public Affairs, and Internal Audit by turning business opportunities into production workflows. Drive responsible deployment, risk controls, productivity, and measurable value at Wells Fargo.

Ochish
USAA

Mid-Level AI/ML Engineer

USAA

Build machine learning, generative AI, and data pipeline solutions for USAA’s financial services serving the military community. Develop cloud infrastructure and production systems in a hybrid role.

Ochish
U.S. Bank

Senior AI Research Scientist at U.S. Bank (Hybrid)

U.S. Bank

Advance generative AI, large language models, and agentic systems for U.S. Bank’s financial services work. Carry research from early prototypes through secure enterprise deployment.

Ochish