Machine Learning Intern at Hewlett Packard Enterprise

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

BiotechnologyIndustries

Requirements

Candidates must be enrolled in university, able to start in January 2026, and commit to a minimum of 5 months. A foundational knowledge of Machine Learning, Deep Learning, and Generative AI is required, along with skills in accountability, action planning, active learning, active listening, creativity, critical thinking, design thinking, empathy, follow-through, group problem-solving, growth mindset, long-term planning, managing ambiguity, and risk assessment.

Responsibilities

The Machine Learning Intern will design, develop, and implement machine learning models, collaborate with cross-functional teams to integrate ML solutions, and preprocess/analyze large datasets. They will also optimize and fine-tune models, conduct experiments, develop scalable ML pipelines, stay updated on AI advancements, write clean code with documentation, monitor deployed models, and communicate findings to stakeholders.

Skills

Python

Machine Learning

Data preprocessing

Model deployment

ML pipelines

Experimentation

Documentation

Cross-functional collaboration

Monitoring

Production-grade ML

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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