AI/ML Engineer Graduate — Onsite, Early-Career Opportunity

Hewlett Packard Enterprise Development LP; Durham (NC); On-site; USD 65,000 - 85,000; Full time

Job summary

Hewlett Packard Enterprise Development LP in Durham, North Carolina is seeking an AI and Machine Learning Engineering Graduate to join our onsite team. This entry-level role focuses on building and optimizing ML models, data processing, and collaboration with data scientists and software engineers.

You will work with Python, ML libraries, and large datasets, contributing to real-world AI solutions while gaining hands-on experience in a global edge-to-cloud company.

Qualifications

• Bachelor's degree in computer science, engineering, data science, ML, AI, or related quantitative discipline.
• Master's degree is desirable.
• Typically, 0-2 years' experience.

Responsibilities

• Designs, develops and implements AI and machine learning models, including data pre-processing, feature engineering, algorithm selection, model training and evaluation.
• Gathers and analyzes relevant data sets to train and test ML models.
• Understands data analysis techniques, statistics and data visualization to gain insights and inform decisions.
• Optimizes algorithms and models, tuning hyperparameters and conducting experiments to improve performance.
• Collaborates with data scientists, software engineers, product managers, and domain experts.
• Maintains project documentation and reports findings to stakeholders.

Skills

Python

R

Java

TensorFlow

PyTorch

scikit-learn

Statistics

SQL

Data visualization

Education

Bachelor's degree in computer science, engineering, data science, ML, AI, or related field

Master's degree desirable

Tools

Matplotlib

Tableau

Job description

Hewlett Packard Enterprise Development LP in Durham, North Carolina is seeking an AI and Machine Learning Engineering Graduate to join our onsite team. This entry-level role focuses on building and optimizing ML models, data processing, and collaboration with data scientists and software engineers.

You will work with Python, ML libraries, and large datasets, contributing to real-world AI solutions while gaining hands-on experience in a global edge-to-cloud company.