Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise dezvoltă tehnologii pentru organizații care operează infrastructuri cloud hibride și activități bazate pe inteligență artificială. Portofoliul său include servere HPE ProLiant și soluții de calcul de înaltă performanță HPE Cray, soluții de stocare HPE Alletra, soluții de rețelistică HPE Aruba, platforme de inteligență artificială și fabrici AI gata de utilizare, precum și soluții GreenLake oferite ca serviciu. HPE oferă, de asemenea, capabilități de securitate precum Zero Trust și SASE, alături de servicii profesionale, de consultanță și de asistență care ajută organizațiile mari să își modernizeze infrastructura, să gestioneze mediile centrelor de date și să implementeze inteligența artificială la scară largă.

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.

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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.

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