Cloud Dev Intern — ML & Cloud Solutions

Hewlett Packard Enterprise Company; San Jose (CA); On-site; USD 76,000 - 87,000; Full time

Job summary

Hewlett Packard Enterprise Company is seeking a Cloud Developer Intern to design and implement cloud-based solutions. The role emphasizes collaboration with cross-functional teams, ML problem framing for network diagnostics, and deploying ML models with monitoring in an end-to-end cloud environment.

The ideal candidate is pursuing a Bachelor's or Master's in CS/DS/Math/Physics/Statistics, proficient in Python (PySpark, Scikit-learn), with a solid understanding of OOP and ML techniques.

Qualifications

• Pursuing Bachelor's or Master's in CS/DS/Math/Physics/Statistics.
• Familiar with software design principles.
• Proficient Python coding with PySpark and Scikit-learn.
• Basic understanding of OOP.
• Strong ML knowledge: anomaly detection, time-series, deep learning.

Responsibilities

• Collaborate with cross-functional teams to design and implement cloud solutions.
• Work with domain experts to form ML problems and data pipelines.
• Design and validate ML algorithms on big data.
• Guide deployment of ML solutions and monitor operation.
• Develop tests and CI/CD pipelines for cloud applications.
• Investigate issues in code and integration within architectures.

Education

Bachelor's or Master's in CS/DS/Math/Physics/Statistics

Python

PySpark

Scikit-learn

OOP

Statistical ML techniques

Anomaly detection

Time series analysis

Deep learning

Reinforcement learning

GenAI/LLMs

Data visualization

Tools

PySpark

Scikit-learn

Job description

Hewlett Packard Enterprise Company is seeking a Cloud Developer Intern to design and implement cloud-based solutions. The role emphasizes collaboration with cross-functional teams, ML problem framing for network diagnostics, and deploying ML models with monitoring in an end-to-end cloud environment.

The ideal candidate is pursuing a Bachelor's or Master's in CS/DS/Math/Physics/Statistics, proficient in Python (PySpark, Scikit-learn), with a solid understanding of OOP and ML techniques.