
10.000+ funcionários
🏢 Corporativo
🔧 Hardware
🤖 Inteligência Artificial
💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04
Enterprise • Hardware • Artificial Intelligence
LinkedIn oficial da Hewlett Packard Enterprise, a empresa global de edge-to-cloud. Compartilhando nossa paixão e propósito por meio da tecnologia e inovação.
🕒 Outubro 20
🌽 Illinois, North Carolina, +2 estados a mais – Remoto
💵 $157.000 - $361.000 / ano
⏰ Tempo Integral
🔴 Especialista
🤖 Engenheiro de IA
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Hewlett Packard Enterprise, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Outubro 20
Ainda aberta no site da Hewlett Packard Enterprise. Verificada 35 minutos atrás.

10.000+ funcionários
🏢 Corporativo
🔧 Hardware
🤖 Inteligência Artificial
💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04
Enterprise • Hardware • Artificial Intelligence
LinkedIn oficial da Hewlett Packard Enterprise, a empresa global de edge-to-cloud. Compartilhando nossa paixão e propósito por meio da tecnologia e inovação.
• Design, develop, and deploy advanced machine learning models and algorithms • Select techniques, preprocess data, engineer features, train models, and evaluate performance • Lead research initiatives, conduct experiments, evaluate algorithms, and identify innovation opportunities • Design AI system architecture for scalability, performance, and reliability • Optimize algorithms and leverage distributed computing frameworks and cloud services • Collaborate with data scientists, software engineers, and product managers to identify AI integration opportunities • Provide technical guidance, leadership, and mentorship to junior engineers • Oversee design review sessions across projects and ensure adherence to best practices • Establish long-term design and implementation strategies with the engineering manager and team lead • Lead feedback loops and continuous improvement processes • Lead meetings, track progress, resolve issues, and coordinate teams • Present technical strategies and business impact to executive stakeholders • Apply data mining, data modeling, natural language processing, and machine learning to analyze datasets • Contribute to complex application, system administration, or network solutions where applicable
• Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline • 8+ years of experience in AI and Machine Learning • Solid understanding of supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling • Experience implementing and deploying machine learning algorithms, including decision trees, random forests, support vector machines, and neural networks • Knowledge of TensorFlow, PyTorch, or scikit-learn • Expertise in deep learning techniques, architectures, and frameworks, including CNNs, RNNs, and GANs • Proficiency in Python, Java, or C++ • Experience with data wrangling, feature extraction, dimensionality reduction, missing-value handling, and data quality • Understanding of linear algebra, calculus, probability theory, and statistics • Proficiency in data visualization tools and techniques • Familiarity with software engineering principles, Git, testing methodologies, and agile development practices • Experience leading research initiatives, publishing research papers, or contributing to open-source AI projects • Experience guiding and mentoring other engineers • Strong communication skills for cross-functional collaboration, technical leadership, and mentorship
• Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Flexible work arrangements to manage work and personal needs • Remote/teleworker work arrangement • Variable incentives may also be offered
Candidatar-seMelhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
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