Machine Learning Intern at Hewlett Packard Enterprise

Beijing, Beijing, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

TechnologyIndustries

Requirements

University student actively enrolled in a university/college/institution pursuing a Bachelor's or Master's degree in computer science, electronic information, mathematics, statistics, or related technical field (current students prioritized)
Familiar with common machine learning algorithms (e.g., regression, classification, clustering)
Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow)
Proficient in Python and common data science libraries (e.g., NumPy, Pandas, scikit-learn)
Strong data analysis and problem-solving abilities
Clear logic, strong learning ability, good communication, and team collaboration skills
Availability: At least 2-3 days per week, internship duration no less than 3 months

Responsibilities

Assist the team in designing, implementing, and optimizing machine learning and deep learning algorithms
Participate in model training, tuning, and testing to improve algorithm performance in real business scenarios
Support core tasks such as data preprocessing, feature engineering, and model evaluation
Assist in setting up experimental environments, writing experimental reports, and technical documentation
Follow cutting-edge AI technology trends and propose improvement suggestions for projects

Skills

Machine Learning

Deep Learning

PyTorch

TensorFlow

Python

NumPy

Pandas

scikit-learn

Data Preprocessing

Feature Engineering

Model Training

GPU

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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