AI & ML Engineer Graduate – Start Your Career in Data

Hewlett Packard Enterprise Company; Durham (NC); On-site; USD 82,000 - 188,000; Full time

Job summary

Hewlett Packard Enterprise seeks an AI and Machine Learning Engineering Graduate to design, develop, and optimize ML models and data pipelines inNorth Carolina. The role emphasizes collaboration with data scientists and engineers, hands-on experimentation, and applying ML techniques to real-world problems.

The position targets entry-level to early-career engineers with a strong foundation in Python, ML libraries, and data analysis, and offers onsite work with opportunities for growth within a

Qualifications

• Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline. Master's degree desirable.
• Typically, 0-2 years' experience.
• Proficiency in programming languages such as Python, R, or Java is required. Knowledge of libraries/frameworks like TensorFlow, PyTorch, or scikit-learn is beneficial.

Responsibilities

• Designs, develops and implements AI and machine learning models including data pre-processing and feature engineering.
• Gathers and analyzes relevant data sets to train and test ML models; uses data visualization to gain insights.
• Optimizes algorithms and models to improve performance with hyperparameter tuning and experiments.
• Collaborates with data scientists, software engineers, product managers, and domain experts.

Skills

Python

R

Java

Education

Bachelor's degree in computer science or closely related quantitative discipline

Master's degree desirable

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Matplotlib

Tableau

Job description

Hewlett Packard Enterprise seeks an AI and Machine Learning Engineering Graduate to design, develop, and optimize ML models and data pipelines inNorth Carolina. The role emphasizes collaboration with data scientists and engineers, hands-on experimentation, and applying ML techniques to real-world problems.

The position targets entry-level to early-career engineers with a strong foundation in Python, ML libraries, and data analysis, and offers onsite work with opportunities for growth within a